About the Client

Bayleys is one of New Zealand’s leading full-service real estate companies, operating across commercial, industrial, residential and rural property. Their internal CVE application is used by valuers to record, search, and report on commercial sales and rental evidence across the New Zealand market.

Project Background

Bayleys’ existing Commercial Valuation Evidence system ran on a legacy Microsoft Access database — a standalone, desktop-bound solution with no cloud access, no modern search capability, and no ability to scale to a growing user base. The requirement was to migrate the entire application to a cloud-native platform that could be accessed from any device, support role-based access aligned to Bayleys’ existing Azure AD identity, and provide a significantly improved user experience for valuers entering and searching property evidence. 

 Peritos Solutions was engaged to design, build, and deploy the full application on AWS — from architecture design and Access database migration through to a React.js frontend, serverless C# API layer, Aurora PostgreSQL database, and production deployment — in under two months.

Project Timelines

Results & Impact

Observability & Visibility

Assessment Report

Phase A delivered a structured assessment before any build commenced: 

• Risk & Gap Analysis — AS IS Access database reviewed, TO BE cloud architecture designed, data migration approach confirmed, and AWS account structure (Dev/Test/Prod organisation units) set up before development started 

• Customised Assessment Report — AWS Well Architected Framework assessment completed across all five pillars (Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimisation), with adherence built into the architecture from day one 

• Pricing validated — full AWS pricing model confirmed at USD $124.22/month (Asia Pacific Sydney) before infrastructure was provisioned 

Cloud Formation

Serverless AWS Architecture

The entire application was built on a consumption-based serverless model: 

• AWS Lambda (C#) — all backend APIs run serverless with automatic scaling, zero server management, and 99.95% SLA 

• Aurora Serverless PostgreSQL — database scales automatically with demand, 99.99% SLA, deployed in a private subnet with no public internet access 

• AWS Amplify — React.js frontend deployed on a managed CloudFront distribution with built-in level 7 security — no additional CDN or WAF configuration required for the frontend 

• CloudFormation IaC — all three environments (Dev/Test/Prod) provisioned from identical infrastructure-as-code scripts, ensuring full environment parity 

Scope & Requirements

Phase A — Requirements & Architecture

• AS IS and TO BE process flows documented for sales and rental evidence workflows 

• AWS account structure designed — separate Dev, Test, and Prod accounts under an Organisation Unit hierarchy 

• Application architecture designed — serverless, multi-layer (Presentation · Business Services · Data Access) 

• AWS Well Architected Framework review completed across all 5 pillars 

• AWS pricing model confirmed — USD $124.22/month 

Phase B — Core Application

• AWS infrastructure setup — VPC, private subnets, CloudFormation scripts, CI/CD pipelines 

• User authentication — AWS Cognito with Azure AD as identity provider; JWT token validation on every Lambda; admin/user role assignment from AD groups 

• Home screen and navigation — role-based dashboard 

• Commercial Valuation Evidence (CVE) module — full sales evidence entry with NZ address restriction 

• Property search — by type, category, subcategory, location, date range, price, building area, tenure, zoning, keyword 

• Rental Assessment module — rental entry with auto-calculated annual rental (area × contract rate), lease terms, occupancy details 

• Photo and document attachment — upload, download, and delete for both sales and rental records; stored in S3 

• Sales and rental evidence report — combined report generation 

• AWS deployment — Lambda, Aurora, Amplify, API Gateway, WAF, S3, KMS, Secrets Manager, CloudWatch 

Phase C — Additional Features

• Word and Excel export of property evidence reports 

• Google Maps radius search — restrict property search to X km radius of a searched NZ address 

• Audit logs — logging of all data download and export events 

• Email report delivery — send evidence reports via SNS/SQS email integration 

• Advanced search enhancements — comma formatting on numeric fields, improved address suburb search 

Phase D — Data Migration & Production

• Full data migration from Microsoft Access database to Aurora PostgreSQL 

• UAT, bug fixing (5% effort allocation), production deployment 

• Documentation and handover 

• 1-month hypercare support post go-live 

Implementation

Serverless Architecture

The backend was built entirely on AWS Lambda using C#, invoked via Amazon API Gateway. This eliminated server management entirely — Lambda scales automatically to handle any volume of concurrent requests, and the consumption-based pricing model means Bayleys pays only for actual usage. At 50,000 Lambda invocations per month, the Lambda cost is effectively zero under AWS’s free tier thresholds. 

Authentication — Azure AD + AWS Cognito

Bayleys users authenticate using their existing Bayleys corporate Azure AD credentials. AWS Cognito is configured with Azure AD as the federated identity provider — users click ‘Sign in with Bayleys account’, are redirected to Azure AD for authentication, and returned to the CVE app with a JWT token. Admin role assignment is handled via Azure AD group membership, surfaced in the JWT claim and enforced on every Lambda endpoint. 

Property Search & Google Maps Integration

The property search module allows Bayleys valuers to search commercial sales and rental evidence by property type, category, subcategory, location, date, price, building area, tenure, and keyword. NZ address lookup is powered by the Google Maps Places API with results restricted to New Zealand addresses only. The radius search feature allows valuers to find all comparable evidence within a defined kilometre radius of any NZ address — critical for commercial valuation work. 

Data Model & Migration

The existing Microsoft Access database was analysed, mapped to a normalised PostgreSQL schema, and migrated to Amazon Aurora Serverless. Aurora’s serverless configuration means the database scales its capacity units automatically based on load — dropping to near-zero cost during idle periods and scaling up for peak search and reporting activity. The database is deployed in a private subnet with no public internet access; Lambda functions access it over the private network only. 

Security Architecture

All API endpoints are protected by AWS WAF with AWS managed rule groups covering common web exploits, SQL injection, and bot traffic. AWS Shield Standard provides DDoS protection at the network layer. All sensitive configuration (database connection strings, API keys, third-party credentials) is stored in AWS Secrets Manager in encrypted format. Data at rest in Aurora and S3 is encrypted using AWS KMS. All data in transit is secured via HTTPS/TLS.

Technology & Architecture

Architecture Overview

A high level architecture diagram as below

Challenges

Access Database Migration to Aurora PostgreSQL

The legacy Microsoft Access database had an unstructured schema built over many years of ad hoc property data entry. Peritos mapped the full Access data model to a normalised PostgreSQL schema before migration, handled data type conversions, and validated migrated data record-by-record against the source before go-live. 

Azure AD Federated Identity via AWS Cognito

Integrating Bayleys’ corporate Azure AD as the identity provider for an AWS-native application required careful configuration of OIDC federation in Cognito, JWT claim mapping for admin role detection, and testing across all authentication edge cases — including token expiry, re-authentication, and admin privilege escalation via group membership. 

NZ-Only Address Restriction

Google Maps Places API returns global results by default. Enforcing NZ-only address lookup required both frontend component configuration (restricting the Places autocomplete to NZ) and backend validation on address submission — ensuring no non-NZ property records could be created through direct API calls. 

Complex Valuation Analysis Fields

The sales evidence entry form includes specialist commercial valuation fields — Building Rate ($/psm), Equivalent Market Yield (%), IRR (%), WALT (years to 2dp), Vacancy (%) — each with specific unit formatting requirements and conditional display rules (e.g. subcategory only active for Commercial Office and Commercial Retail). Getting the field logic right required close collaboration with Bayleys valuers through multiple UAT cycles. 

Under Two Months End-to-End

Delivering a fully serverless custom application — including data migration, three AWS environments, CI/CD pipelines, Azure AD integration, Google Maps integration, and report export — in under two months required strict parallel workstreaming across infrastructure setup, backend development, frontend development, and data migration, with daily sprint cycles and rapid UAT feedback turnarounds. 

Key Benefits

• Fully serverless — zero server management, automatic scaling, consumption-based pricing at USD $124/month for a full commercial property evidence platform 

• Single sign-on — Bayleys staff use their existing corporate Azure AD credentials with no new password or account required 

• Cloud-native from day one — built following the AWS Well Architected Framework across all 5 pillars, with IaC (CloudFormation) and CI/CD pipelines ensuring repeatable, reliable deployments 

• Access database retired — legacy desktop-only, single-user Access database replaced by a scalable multi-user cloud application accessible from any device and browser 

• Google Maps radius search — valuers can find comparable evidence within any km radius of any NZ address, directly inside the application without external tools 

• 99.99% database SLA — Aurora Serverless PostgreSQL delivers enterprise-grade availability with automatic failover and no database administration overhead 

• Complete audit trail — CloudWatch logging, CloudTrail, and application-level audit logs capture all data access and export activity 

Post-Launch Support

Hypercare Period

A 1-month free hypercare period was included from the go-live date. Peritos monitored CloudWatch metrics, resolved all post-launch issues, and provided guidance on Aurora capacity tuning and Lambda concurrency configuration. All Phase B UAT test scenarios (45+ test cases across sales entry, rental entry, and search) were confirmed passed before the hypercare period commenced, with only 3 bugs raised and resolved during testing. 

A support contract proposal was prepared for ongoing AMC support following the hypercare period, covering Lambda, Aurora, Amplify, and application-level support. 

About the Client

Ultimate Property is a New Zealand-based property management company managing multiple buildings across residential sales and rental markets. Their client base spans English and Chinese-speaking buyers and tenants, requiring a bilingual web presence with seamless agent contact and social media integration.

Project Background

Ultimate Property needed a professional, bilingual property portal to showcase their building and apartment portfolio to both English and Chinese-speaking audiences across New Zealand. Their existing web presence lacked structured building and apartment templates, had no Facebook integration, and offered no bilingual support for the significant Mandarin and Cantonese-speaking segment of their client base. 

 Peritos Solutions was engaged to customise WordPress on Azure, build purpose-designed templates for buildings and individual apartments, integrate with Facebook for automated social posting and lead capture, and deliver a fully bilingual site — all within a three-month timeline from January to March 2023.

Project Timelines

Results & Impact

Observability & Visibility

Assessment Report

Before any development work commenced, Peritos conducted a structured discovery phase: 

• Risk & Gap Analysis — reviewed the existing WordPress installation, identified version gaps (upgraded to 5.7), Facebook integration requirements, and bilingual content needs before starting build 

• Customised Assessment Report — documented the full scope across Phase A, B, and C with task-level status tracking, re-estimate triggers, and a clear development roadmap signed off by the client 

• Azure environment validated — dev instance (ultimate-property-dev.azurewebsites.net) provisioned and confirmed before any production changes were made 

Cloud Formation

Azure Hosting & Integration

The full Azure-hosted stack was provisioned and configured as part of the engagement: 

• Azure App Service used as the WordPress hosting layer — dev and production environments maintained separately throughout the project 

• Facebook integration via Blog2Social — posts published on WordPress automatically cross-post to the Ultimate Property Facebook page with image and link 

• Facebook lead capture form updated — previously chat-based, now routes leads directly to email for agent follow-up 

• Azure App Service Backup configured — pre-upgrade snapshot taken before WordPress update, with ongoing backup policy in place 

Scope & Requirements

Phase A — Requirements & Setup

• Requirement gathering, Facebook page access, TradeMe account access, and user list collection 

• Website designs reviewed and integration scenarios mapped 

• All building and apartment data collected in structured format for backend loading 

• Azure dev environment provisioned — ultimate-property-dev.azurewebsites.net 

Phase B — Website Customisation

• WordPress upgraded and backed up to v5.7 (latest stable) 

• New building page template — building name, description, images, address, and agent widget 

• New apartment page template — price, duration, date of availability, number of rooms, agent details, image gallery, with Mandarin/Cantonese language option 

• Bilingual support — Google Translate plugin activated for English and Chinese (Mandarin & Cantonese) 

• QR code added to site footer — standard plugin implementation 

• 10 building-specific contact forms — each form emails agent, user, and admin on submission 

• Property search page — 1 search result listing view with building tag filtering 

• Facebook auto-post integration via Blog2Social — post with image and link auto-published on WordPress content publish 

• Agent management — agent details manageable via WordPress Users section with editor role 

Phase C — Facebook Changes

• Facebook lead capture form updated — chat replaced with email routing for lead delivery 

• Shared Facebook posting ID configured — allows posting from a common account 

• Unit testing (15%) and bug fixing included 

Additional Scope Delivered

• Property management and rental menu options highlighted in navigation 

• Contact Us page section updated 

• Facebook page created and content updated 

• WhatsApp message icon added to site for direct mobile contact 

• Building write-ups authored and apartment content written based on available information 

Implementation

Azure Hosting Setup

The WordPress site was hosted on Microsoft Azure App Service with a dedicated dev environment for all testing and staging. A full backup was taken before the WordPress upgrade was applied. The dev URL (ultimate-property-dev.azurewebsites.net) was used for all client UAT before changes were pushed to production. 

Building & Apartment Templates

Custom WordPress page templates were built for buildings and individual apartments. The building template includes name, description, image gallery, address, and a linked agent widget. The apartment template captures price, availability date, number of rooms, images, and agent assignment — all manageable from the WordPress dashboard without developer involvement. Properties are tagged to buildings using WordPress taxonomy, allowing the search page to filter by building. 

Bilingual Implementation

Google Translate plugin was integrated and configured with both Mandarin and Cantonese as target languages alongside English. Individual apartment pages were also built with a native Mandarin/Cantonese content option for listings specifically targeting Chinese-speaking buyers and tenants, ensuring accurate property descriptions rather than machine-translated text. 

Facebook & Social Integration

Blog2Social plugin was configured to automatically publish a post to the Ultimate Property Facebook page whenever new content is published on WordPress — including the property image and a direct link to the listing. The Facebook lead capture form was updated to route enquiries to email (previously delivered to chat only), ensuring agents receive leads in their inbox immediately. A shared posting ID was also configured to allow the wider agent team to post from a common Facebook identity. 

Contact Forms & Lead Routing

Ten individual contact forms were built — one per building — each configured to send the submission simultaneously to the relevant agent, the enquiring user (confirmation), and the admin. Contact Form 7 was used as the form plugin, with SMTP email routing configured and tested end-to-end for all 10 building forms. 

 Application screenshots—WordPress admin dashboard, building template, apartment listing, bilingual toggle, and Facebook post examples here.

Technology & Architecture

Architecture Overview

Here is a high level Architecture diagram

Challenges

Bilingual Content — Machine Translation vs. Native Copy

Google Translate provides automated translation which is sufficient for navigation and general UI text, but property descriptions for Chinese-speaking audiences required accurate, culturally appropriate copy. Peritos built apartment templates with a native Mandarin/Cantonese content field separate from the English version, allowing Ultimate Property to publish accurate translated descriptions where needed rather than relying on machine translation alone. 

10 Building Forms with Individual Routing

Each of the 10 buildings had different agent assignments and admin notification requirements. Building individual forms with distinct email routing logic — while keeping the WordPress admin experience simple enough for non-technical staff — required a systematic approach: a templated form structure in Contact Form 7 with per-form routing configuration, tested end-to-end for each building before handover. 

Facebook Integration Reliability

Blog2Social’s automatic Facebook posting required careful configuration of posting permissions, shared account ID setup, and post format (image + link) to match Facebook’s current API requirements. Peritos tested the full post-to-Facebook flow in the dev environment before enabling it on production, ensuring the first live property post published correctly. 

Data Loading at Scale

Loading building and apartment data across multiple properties required all content to be provided in a structured format before development. Peritos defined the data template upfront during Phase A and worked with Ultimate Property to prepare building write-ups and apartment details — preventing rework during the build phase and keeping the project on its three-month timeline. 

Key Benefits

• Bilingual reach — English and Chinese (Mandarin/Cantonese) support opens the site to NZ’s significant Chinese-speaking property market without requiring separate websites 

• Automated social presence — every new property listing automatically posts to Facebook with image and link, keeping the social channel active with zero manual effort 

• Structured lead capture — 10 building-specific forms route every enquiry directly to the right agent instantly, reducing response time and missed leads 

• Self-manageable CMS — building and apartment templates are designed so Ultimate Property’s team can add new listings, update prices, and publish content independently 

• Azure-hosted reliability — Azure App Service provides a managed, scalable hosting environment with built-in backup and dev/prod separation 

• 3-month delivery — full design, customisation, integration, bilingual setup, and Azure hosting delivered end-to-end in one quarter 

Post-Launch Support

Handover & Support Period

A 2-week post-launch support period was included. Peritos delivered a full handover pack covering: how to add and manage buildings and apartments, how to manage agents and user roles, how to use Blog2Social for Facebook posting, and how to manage the Azure App Service environment. All 7 test scenarios were confirmed passed before the support period commenced, with zero open bugs at handover.

About Client

DEEPIQ simplifies industrial analytics and offers the only self-service application for end-to-end (Data + AI) OPs for the industrial world. With this app, your SMEs can digitize their expertise, and your data teams can build and deploy robust analytic pipelines.

• https://deepiq.com/
• Location: Have Offices Globally in USA, India, Canada

Project Background

DeepIQ required a proof-of-concept integration layer to extract Vendor master data and Work Order information from their SAP system and expose it to external applications. The goal was to evaluate viable integration patterns — SOAP, REST, BAPI/RFC — and deliver a working, reusable service layer that could be extended to production. 

The project was executed by Peritos Solutions under a phased delivery model, beginning with an assessment and requirement-gathering sprint before moving into build and testing phases. 

Scope & Requirements

In Scope

• Integration of Vendor master data (list and detail) from SAP 

• Work Order data retrieval filtered by vendor number and date range 

• Custom BAPI development with up to 10 input fields and up to 50 output fields 

• SOAP web service (WSDL) exposure via SAP transaction SE37 / simplified web service 

• REST-based service exposure via SAP SICF (z_ven_wrk_ords) 

• Unit testing via SOAP UI and Postman 

• JSON output serialisation using /ui2/cl_json 

• 1 week of post-delivery hypercare support 

Out of Scope

• Production deployment and middleware (Informatica/MuleSoft) configuration 

• Customer master beyond the agreed POC scope 

Project Timelines

Results & Impact

Observability & Visibility

Assessment Report

A comprehensive assessment was completed in under two weeks. This included: 

• Risk & Gap Analysis — identifying SAP version constraints, authentication settings, and BAPI structural gaps 

• Customised Assessment Report — delivered to the client with architecture recommendations and approach sign-off 

• Integration approach validated against SAP R/3 / S/4HANA constraints before any code was written 

Cloud Formation

Integration — Delivered in < 2 Weeks per Phase

Each integration phase was scoped, built, and tested in a rapid sprint cadence: 

• Phase B — SOAP/WSDL: Custom BAPI (Z_VEN_WRK_ORDS) created with ABAP OOP, exposed as a simplified web service. Vendor list and detail endpoints validated via SOAP UI. 
• Phase C — REST: Wrapper class implementing IF_HTTP_EXTENSION registered as a SICF service. JSON responses verified via Postman for vendor list, vendor detail, and work-order queries. 

Key Outcome Metrics

Implementation

Architecture Overview

Below is a high level Architecture Diagram overview

Technology & Architecture

Challenges

Authentication Configuration

SAP’s web service authentication settings required careful tuning. Multiple configurations were tested before identifying the correct combination of HTTP handler and service user credentials that allowed external SOAP calls to succeed. 

Date Filter Logic

Initial work-order retrieval returned data outside the requested date range. The ABAP selection logic was corrected to enforce strict date boundary matching (GSTRP GE i_start AND GSTRP LE i_end), and output dates were reformatted to DD/MM/YYYY. 

Vendor Number Formatting

Vendor numbers required CONVERSION_EXIT_ALPHA_OUTPUT normalisation to strip leading zeros and match expected formats in the consuming application. 

Compressed Timeline

All three phases were delivered in parallel with the client’s internal scheduling constraints, requiring iterative development with 2–3 day feedback cycles and daily stand-ups. 

Key Benefits

• Reusable service layer — both SOAP and REST endpoints can be extended to additional SAP objects without re-architecture 

• Zero middleware dependency — services are natively exposed from SAP, removing Informatica licensing requirements for the POC 

• Rapid time-to-value — working, tested integration delivered in under 8 weeks from initial engagement 

• Comprehensive documentation — WSDL definitions, ABAP code bundle, unit test evidence, and architecture notes handed over at project close 

• Clean handover — 1-week hypercare period with all bugs resolved (100% test pass rate) 

Post-Go-Live Support

Hypercare Period

A dedicated one-week hypercare period was included post-delivery. During this period DeepIQ resolved all outstanding defects, provided guidance on SAP navigation, and completed final documentation. All six functional test scenarios and both raised bugs were closed with a Pass status before handover. 

Application screenshots are included below as placeholders — replace with actual Postman / SOAP UI test captures. 

About Client

Electric Kiwi is an autonomous online New Zealand electricity retailer. Established in 2014, Electric Kiwi uses cloud computing and intelligent meters to service customers nationwide in major urban areas. Its services depend on the presence of the smart meters in the customer’s home. For the client, we did the POC for integrating AWS Support Services with Datadog’s CloudFormation template.

• http://www.electrickiwi.co.nz/
• Location: New Zealand

Project Background

The case study of the project provides a synopsis of how we did the POC for the client for integrating AWS Support Services, an AWS account with Datadog employing Datadog’s CloudFormation template. Creating an IAM role and associated policy enables Datadog’s AWS account to make API calls for collecting or pushing data into your AWS account. Using the CloudFormation template supplies all the tools required to send this data to your Datadog account, and Datadog helps the CloudFormation template to provide the latest functionality. The template even deploys the Datadog Forwarder Lambda operation for sending logs to Datadog.

After setting the initial connection, enable the individual AWS service integrations appropriate to your AWS domain. With a single click, Datadog provisions the required resources in your AWS account and starts analyzing the metrics and events for the services you use. For general AWS services you are using, Datadog needs out-of-the-box dashboards providing prompt and customizable visibility. The project background demonstrates setting up the integration and establishing the Datadog Agent on an Amazon Linux EC2 instance and feeds a broad outline of the integration’s capabilities. Visit the Enable integrations for individual AWS service factions for a list of the general sub-integrations.

This procedure can be repeated for multiple AWS accounts as required, or you can also use the API, AWS CLI, or Terraform to set up various accounts simultaneously. For more details, read the Datadog-Amazon CloudFormation guide.

Scope & Requirement

The scope & requirements involved the following:

• Datadog integration with AWS support services to measure and accomplish observability matrix
• Identified costing
• Updated pricing with partner discount as applicable
• Shortlisted services for which we did POC
• EC2, database Monitor Requirement, Steps, and Dashboard View
• Along with pricing and cost for using Datadog; for monitoring and analytical purpose

Implementation

Technology and Architecture

Technology/Services used

We used Datadog integration with AWS services to masure and do observability matrix and helped them to setup below

• Cloud: AWS
• Shortlisted services for which we did POC
• Organization setup: Control tower
• Policies setup: Created AWS service control policies
• Templates created for using common AWS services

Security & Compliance:

• Tagging Policies
• Azure config for compliance checks
• NIST compliance
• Guardrails
• Security Hub

Backup and Recovery

• AWS Backup provided a simple, secure, cost-effective, and cloud-based backup solution which was already implemented for the client

Network Architecture

• Site to Site VPN Architecture using Transit Gateway
• Distributed Azure Network Firewall
• Monitoring with Cloud Watch and VPC flow logs.

Cost Optimization

• Alerts and notifications are configured in the AWS cost
• Identified Costing
• Updated pricing with partner discount as applicable

Code Management, Deployment

• Cloudformation scripts for creating stacksets and scripts for generating AWS services was handed over to the client

Challenges

• Access was not provided to the actual environment and setting up
• Complex environment setup and monitoring for production cost was only possible to evaluate if we have got the access for the actual environment from the client

Support

• 1 month of extended support
• A template for Cloud formation stack to create more AWS resources using the available stacks
• Screen-sharing sessions with a demo of how the services and new workloads can be deployed.

About Client

Managing AWS Environment

Wine-Searcher is a web search engine that helps find the price and availability of any wine, whiskey, spirit, or beer worldwide. It has been in operation since 1999 and has offices in New Zealand and the UK. They provide an easy-to-use search engine, price comparison tools, an extensive database of wines and spirits, an encyclopedia, and news pages that aim to provide all “wine-finding” needs.

• https://www.wine-searcher.com/
• Location: New Zealand & UK

Project Background

As part of their plan to launch a full suite of digital products, Wine-Searcher chose AWS as their cloud environment. Strategic resource allocation and cost optimization are critical to ensure a cost-effective operation. Peritos helped as the reliable AWS partner on AWS Cost Explorer and AWS Budgets, like valuable tools for implementing ongoing discounted billing. Furthermore, leveraging reserved instances and spot instances and optimizing usage based on peak hours and demand patterns can result in significant cost savings. Experts from the Peritos team helped regularly monitor and fine-tune the AWS environment based on Winesearcher’s needs, allowing for continuous optimization while adhering to budgetary constraints and maintaining the required scalability and performance for their operations.

Scope & Requirement for Managing AWS Environment

In the 1st Phase of the AWS Environment Setup, implementation was discussed as follows:

• Manage Billing
• Value added services
• Handling Complex environments
• Multiple AWS invoices
• Cost Optimization
• Cloud security optimization

Implementation

Technology and Architecture of Managing AWS Environment

Furthermore, Read on the key components that defined the Architecture for managing the AWS Environment Setup for Wine-Searcher

Technology/ Services used

We used AWS services and helped them to setup below

• Cloud: AWS
• Organization setup: Control tower
• AWS SSO for authentication using existing AzureAD credentials
• Policies setup: Created AWS service control policies
• Templates created for using common AWS services

Security & Compliance:

• Tagging Policies
• AWS config for compliance checks
• NIST compliance
• Guardrails
• Security Hub

Network Architecture

• Site to Site VPN Architecture using Transit Gateway
• Distributed AWS Network Firewall
• Monitoring with Cloud Watch and VPC flow logs.

Backup and Recovery

• Cloud systems and components used followed AWS’s well-architected framework, and the resources were all Multi-zone availability with uptime of 99.99% or more.

Cost Optimization

• Alerts and notifications are configured in the AWS cost

Code Management, Deployment

Cloudformation scripts for creating stack sets and scripts for generating AWS services were handed over to the client

Challenges in Implementing Managing AWS Environment

• Collate all accounts together
• Understand and agree on how the account would be managed under the distribution model

Support

• One month of extended support
• A template for Cloud formation stack to create more AWS resources using the available stacks
• Screen-sharing sessions with demos of how the services and new workloads can be deployed.

Next Phase

We are now looking at the next phase of the project, which involves:

• Implementing a control tower for the client.

About Client

Pioneer Group has been in the education field past 1996. Pioneer Public School might be a new name in the education industry but people are well-versed with Pioneer Institute of Professional Studies and Pioneer Convent. The school focuses on providing a blend of education and culture to its students.

• Offers children basic and advance facilities while imparting easy education
• Teaches children through audio-visual modules
• A staff of trained teaches that focuses on giving an all-round development to the students

http://www.pioneerpublicschool.com/

Location: Indore, Madhya Pradesh, India

Project Background- Online Attendance Management

Pioneer Public School got together with Peritos to discuss the struggles of maintaining attendance records in online classes during lockdown. Peritos instantly suggested the school attendance tracking app as it is easy to use and all the information is just a click away. Also, the school attendance tracking software will give the liberty of making the entire process of attendance, class schedule and timings transparent for students, teachers and even parents. This was implemented first for Pioneer Institute Of Professional Studies which is an organization in the same group after which a similar version was implemented .

Scope & Requirement

IN the 1st Phase of online attendance management, it was discussed to have the following-

Teacher Mode:

• Design a school attendance tracking app where a teacher can view the list of children assigned to them.
• Children will be attending multiple lectures in a day.
• The teacher needs to check-in and out after each of the lectures.
• Ability to export attendance for each class or student

Student Mode/ Parent Mode

• Student / Parent should be able to see the online attendance management system
• Check the Goal vs Achieved attendance criteria
• Backend would be done via mass upload at the Go live date by the admin to upload all Student, Teachers and Subject schedule with the timings.

Implementation

Technology and Architecture

Technology

• The web app was deployed with the below technological component
• Backend Code: .NET Core, C#, Node.js
• Mobile App code: React Native
• Web App code: ReactJS
• Database: SQL Server, MongoDB
• Cloud: Microsoft Azure

Integrations

• Migration from an on-premise database to Online Student, Teacher, Subject database
• Single Sign-on using Auth0
• Sendgrid

Security:

• Data Encryption
• Multi-Factor Authentication for Admin, Teacher, and students when logging in
• All API endpoints are tokenized

Backup and Recovery

Cloud systems and components being used are secure and with 99.99% SLA. We have added HA/DR mechanism to create a replica of the services

Scalability

Application is designed to scale up to 10X times the average load received on the 1st 6 months of its usage and all cloud resources are configured for autoscaling based on the load

Cost Optimization

Alerts and notifications are configured to notify if the budget is being exceeded. Peritos being a cloud partner is managing the environment for the client by keeping a close watch on the cost and finding ways to optimize the same

Code Management, Deployment

• Code for the app is handed over to the client through Microsoft App Center.
• CI/CD is implemented to add automatically build and deploy any code changes

Features

• Students are able to see the list of subjects and timetable at the click of mouse
• Teachers are able to see the list of subjects , classes and student’s attendance and mark daily attendance
• Students are able to view the attendance % and the minimum attendance needed vs achieved
• On the go attendance marking and calculations are updated
• Holidays and classes cancelled are incorporated in the minimum attendance calculations
• Quick setup, Dashboard view

Challenges

• Getting the huge amount of data to incorporate and add to the online database. We took an online database migration tool and added AI ML logic to ensure we could do a quick sanity testing with some test cases to be sure the app works as expected.
• Since the students and teachers were both used to the manual way of working for managing the attendance it became a huge effort to train the entire lot.
• The app we developed was simple enough to use so just with a 15 min basic tutorial and training the teacher and super users we were able to achieve this within an 8 working today time frame.

Support

As part of the project implementation we provided 1 month of extended support. This includes any major / Minor bug fixes.

Next Phase

We are now looking at the next phase of the project which involves:

• Ongoing Support and adding new features every Quarter with minor bug fixes
• Web based module to have admin be able to mass Upload teacher, students rolled out for the backend staff

About Client

AWS Control Tower Setup

Wine-Searcher is a web search engine that helps find the price and availability of wine, whiskey, spirits, and beer worldwide.
It has been operating since 1999, with offices in New Zealand and the UK. The platform offers search tools, price comparison,
an extensive database, an encyclopedia, and news content to support all wine-finding needs.

• https://www.wine-searcher.com/
• Location: New Zealand & UK

Project Background

Peritos led the AWS Control Tower setup for Wine-Searcher, optimizing their cloud infrastructure.
The implementation streamlined governance, improved compliance, and enabled secure scalability.
Multiple accounts were consolidated and managed using AWS Organizations within Control Tower.

The environment was configured to meet specific business needs, ensuring efficient resource management
and cost control. With built-in automation and governance, Wine-Searcher gained a strong foundation
for future growth while focusing on innovation and user experience.

Scope & Requirement for AWS Control Tower Setup

• Prerequisite: Automated pre-launch checks for the management account
• Step 1: Create shared account email addresses
• Define expectations for landing zone configuration
• Step 2: Configure and launch the landing zone
• Step 3: Review and finalize the landing zone setup

Implementation

Technology and Architecture of AWS Control Tower Setup

• Read about the key components defining the AWS Control Tower architecture for Wine-Searcher

Technology / Services Used

• We used AWS services to set up the following:
• Cloud: AWS
• Organization setup: Control Tower
• AWS SSO integrated with Azure AD credentials
• Policies setup: AWS Service Control Policies (SCPs)
• Templates created for common AWS services

Security & Compliance

• Tagging policies
• AWS Config for compliance checks
• NIST compliance
• Guardrails
• Security Hub

Network Architecture

• Site-to-site VPN using Transit Gateway
• Distributed AWS Network Firewall
• Monitoring with CloudWatch and VPC Flow Logs

Backup and Recovery

• Infrastructure follows AWS Well-Architected Framework with multi-zone availability and 99.99% uptime

Cost Optimization

Alerts and notifications are configured to monitor AWS costs and prevent budget overruns.

Code Management & Deployment

CloudFormation scripts for stack sets and AWS service provisioning were handed over to the client.

Challenges in Implementing AWS Control Tower Setup

• Landing Zone Drift
• Role Drift
• Security Hub Control Drift
• Trusted Access disabled

Support

• 1 month extended support
• A template for Cloud formation stack to create more AWS resources using the available stacks
• In addition, Screen sharing sessions with demo of how the services and new workloads can be deployed.

Dynamics Multiple clients Support

Dynamics Multiple clients Support

Dynamics 365 Implementation and ongoing Support for Multiple clients

Technologies

• Dynamics

Use Case

• Architecture
• ERP
• Reporting

Executive Summary

About Client

Enterprise Software Solutions (ESS) provides tailored software licensing and cloud services, specializing in optimizing Microsoft licensing solutions. Headquartered in Phoenix, Arizona, ESS helps clients reduce cloud spending and navigate complex licensing challenges. Their services include Microsoft 365 and Dynamics 365 solutions, cloud licensing optimization, and 24/7 support. ESS focuses on delivering cost-effective software solutions with a strong emphasis on customer service, including fast delivery, a 30-day warranty on most products, and a full refund policy.

• Address: Tempe, AZ 85281 , USA
• https://www.enterprise-software-solutions.com/

Project Background

Peritos and Enterprise Software Solutions (ESS) have entered a 2-year contract to support multiple enterprise and Microsoft clients. This partnership focuses on providing solutions and services for clients utilizing Microsoft products. The collaboration covers high-level requirements across various projects, ensuring both companies can effectively serve their clients by leveraging Microsoft’s extensive suite of tools and services. These include Dynamics 365 F&O , CRM, Sales Hub, Customer insights, HR, Project operations, SCM and Finance.

Requirement

• Supporting enterprise-level implementations of Microsoft tools.
• Addressing high-level needs such as financial operations, customer relationship management, HR processes, and supply chain efficiencies.
• Providing seamless integration across various departments to enhance productivity and business outcomes.

Scope

• Requirement Gathering: Understand client-specific needs and align them with Dynamics 365 capabilities.
• System Implementation : Set up the appropriate Dynamics Product for customer and the different modules (e.g., Finance, CRM, SCM) based on the business processes and scope identified.
• Customization: Tailor the system through custom fields, workflows, or integrations as required.
• Data Migration: Transfer data from legacy systems into Dynamics 365 while maintaining integrity.
• User Training and Go-Live: Train users, conduct tests, and ensure a smooth transition to the new system.
• Post-Go-Live Support: Provide ongoing support and system optimizations.

Technology and Architecture

• Cloud-Based Architecture: Dynamics 365 runs on Azure, leveraging its scalability, security, and integration capabilities.
• Microservices and APIs: Modular design using microservices allows seamless integration of Finance, SCM, HR, and CRM with third-party systems.
• Data Management: Utilizes Azure Data Factory for ETL processes, with Azure SQL for data storage and Power BI for embedded analytics.
• Security: Built-in role-based access control (RBAC) and encryption ensure data protection across the system.

Challenges

• Data Migration Complexity: Transferring large volumes of data from legacy systems while ensuring accuracy and integrity can be time-consuming.
• User Adoption: Resistance from users accustomed to old systems can slow down implementation.
• Customization Needs: Legacy customizations may not fit into the Dynamics 365 architecture and require redevelopment.
• Integration with Other Systems: Connecting Dynamics with existing software and third-party tools can be complex.
• Downtime and Disruption: Migrating to a new system may cause temporary disruptions in business processes.

  Overcoming challenges across multiple clients has led us to develop reusable assets, datasets, and tools that streamline the Dynamics 365 implementation process. These resources include pre-configured templates, tested integration frameworks, and proven techniques for data migration and user training. By utilizing these assets, we ensure each project runs smoothly and can achieve faster go-live times. This approach has helped us maintain consistency and efficiency, reducing the overall complexity and risks associated with deploying new systems across different client environments.

Project Completion

• System Configuration: Set up Dynamics 365 modules (Finance, SCM, HR, CRM) as per business requirements.
• Data Migration Report: Detailed report on data migrated from legacy systems, ensuring data integrity.
• Customization Documentation: Comprehensive documentation of customizations and configurations done on the system.
• Integration Setup: Configured integration with third-party systems and existing platforms.
• User Training Materials: Manuals, videos, and training sessions for end-users.
• Go-Live Support Plan: Detailed plan for system launch and ongoing post-go-live support. These deliverables ensure a successful and smooth deployment.

Support

Support can be from 2 weeks ongoing to be around 4 weeks of Hypercare support. We also have been supporting 5 customers for an AMC contract

Testimonial

Working with Peritos has been a highly productive and seamless experience. Their expertise in Microsoft solutions, particularly Dynamics 365, has helped us successfully implement complex projects across multiple clients. Their reusable assets, tools, and consistent approach to handling customizations have ensured smoother transitions and faster go-lives. The team’s commitment to delivering high-quality results and providing ongoing support has strengthened our partnership, and we look forward to future successes together.

– Abhi Ahuja , ESS Founder

Testimonial

Edward Yarashev

Product Manager | Tonkin + Taylor

Peritos is a team of highly skilled developers, technical experts, and delivery managers. We’ve been very impressed with their commitment. Their developers and delivery managers have conducted themselves with professionalism and diligence at all times, and the quality of the work they have performed has been excellent. Many times, they proposed better solutions, which resulted in better and faster products. Peritos is a reliable AWS Partner. You can trust and be satisfied.

---

(For services and support)

Richard Canny

Ultimation industries | President

“We are very happy with the results of this major IT project with Peritos Solutions. Their staff gained a good knowledge of our business and processes. They were able to work with many of our diverse team members and launch Business Central ERP on time and on budget according to our requirements. We will be using them again for future projects and additional development actions. Thank you!”

---

(For services and support)

Grant Peterson

Software Development Manager | Insight Software

The project was completed on time and as per the agreed budget. The communication was excellent, as was the dedication to quickly turning around the required report development. The overall experience was good, and I would definitely work with the Peritos Team again.

---

(For services and support)

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ABDM-Compliant Hospital Management Software

ABDM-Compliant Hospital Management Software

Read the project details which talks about ABDM-Compliant Hospital Management Software: Streamline Compliance and Patient Records Management with Ekanshi Solution's Solution.

Technologies

• AWS

Use Case

• Cloud Consulting

Location

• India

Executive Summary

About Client

ABDM-Compliant Hospital Management Software for all-size hospitals.

Ekanshi Solutions Pvt Ltd offers expert management consultation services to healthcare organizations. They provide strategic guidance and support to help organizations achieve their goals. With the in-depth expertise and industry knowledge, they help organizations optimize their operations, make informed decisions, and achieve excellence in patient care.

• https://ekanshisolutions.com/
• Location: Lucknow, Uttar Pradesh, India

Project Background

Ekanshi Solution requires reviewing its clients’ hospitals and clinics to ensure they meet the compliance requirements. To achieve this, we recommended developing a software solution that meets the basic compliance requirements and also eases the operational burden on hospitals.

• Registration and demographic data collection.
• Patient history and medical record management.
• Appointment scheduling and reminders.
• Patient check-in and waiting list management.
• ABDM Compliance M1  , M2 and M3 scenarios therefore create Verify ABHA and to manage patients records
• The movement of this on-premise app to a cloud-based infrastructure is aimed at improving performance, ensuring data security, and enabling seamless integrations with other digital health services.
• AWS Automated HIPPA Compliance check and aligned with best practices. 

Scope & Requirement for ABDM-Compliant Hospital Management Software

In the 1st Phase of custom application development, we discussed the implementation as follows:

• A customized app, furthermore, helps to generate ABHA ID and integrates ABDM-compliant APIS 
• The client hospital team should be able to view patient records easily and receive and send to the central server
• Able to book appointments and moreover schedule reminders easily. 
• We would create a Web version of the app to help manage the above functionality, which will replace the current paper-based and unorganized work the admin was doing. 
• Plan and execute the migration of application code, data, and databases from the on-premise system to the selected cloud platform.
• Ensure minimal downtime by utilizing cloud migration tools and strategies, such as database replication, to synchronize on-premise data with the cloud.
• Compliance with HIPPA and using config rules to do ongoing monitoring of compliance

Implementation

Technology and Architecture of Hospital Management Software

Read more on the technology and Architecture we used for AWS Custom Application Development using ESRI ArcGIS.

Technology/ Services used

The web app was deployed with the below technological component

• Backend Code: .NET Core, C#
•  Web App code: AngularJS
• Database: PostgreSQL
• Cloud: AWS

Integrations:

• Google APIs 

•  ABDM Integration

• Auth0

• SendGrid

Security:

• AWS WAF service is used for the firewall
• All API endpoints are token-based

Scalability

• The application is designed to be running on serverless services so that it can easily scale up and down automatically based on usage.

Backup and Recovery

• Additionally, Automated backups are configured to backup the database and store multiple copies of the backup.

Cost Optimization

• Peritos optimized costs for the ABDM-compliant hospital management software by architecting a scalable, cloud-based solution using serverless components and right-sized infrastructure.
• Leveraging AWS tools like Cost Explorer and Trusted Advisor, we continuously monitored usage to eliminate waste and reduce expenses.
• Automation through CI/CD pipelines, along with performance-tuned code and databases, ensured reliable delivery while minimizing operational overhead—resulting in a cost-effective, high-performance system for healthcare providers.

Code Management, Deployment

• CI/CD is implemented to automatically build and deploy any code changes

Features of the Application

• Integrated Patient Profile with NDHM: This application seamlessly integrates with NDHM, enabling the swift creation of ABHA IDs and facilitating the exchange of patient health data. By interfacing with the National Digital Health Mission, the system ensures that patient data is standardized, up-to-date, and easily accessible, fostering more informed medical decisions.
• Multi-tenancy Architecture: The system’s ability to cater to multiple hospitals or health providers under a single unified platform is a significant advantage. Each hospital can manage its operations while benefiting from centralized updates and features, ensuring scalability and simplifying administrative tasks.
• Data Encryption at Rest and In Transit: Implemented encryption using AWS Key Management Service (KMS) for both data at rest (S3, EBS, RDS) and in transit (SSL/TLS) to ensure compliance with GDPR and HIPAA requirements for securing sensitive data.
• Identity and Access Management (IAM): Designed and enforced strict least-privilege access policies using AWS IAM. This included creating custom roles and policies with granular permissions for specific users and services, ensuring only authorized personnel had access to sensitive data.
• AWS Config and Compliance Rules: Set up AWS Config to track and audit configuration changes across the environment. Applied AWS Config Rules to continuously monitor compliance against GDPR and HIPAA requirements, such as encryption enabled on S3 buckets and logging for API Gateway and Lambda.
• Audit Logging and Monitoring: Configured AWS CloudTrail and Amazon CloudWatch for continuous logging and monitoring of API calls, changes, and actions within the AWS environment. This was crucial for meeting HIPAA requirements for audit trails and GDPR’s data access visibility.
• VPC Flow Logs and Security Groups: Deployed Virtual Private Cloud (VPC) with properly configured flow logs to monitor and log network traffic. Used AWS Security Groups and Network ACLs to ensure secure network segmentation and prevent unauthorized access to sensitive resources.
• Data Residency and Data Transfer Controls: Implemented controls to ensure data residency compliance by restricting data storage and processing to specific AWS regions as required by GDPR. Utilized VPC endpoints and AWS Direct Connect to secure data transfers and reduce the exposure to the public internet.
• Backup and Disaster Recovery: Designed an automated backup strategy using AWS Backup to meet GDPR’s requirement for data recoverability, ensuring regular snapshots of critical databases (e.g., RDS, DynamoDB) and storing them in encrypted S3 buckets across different regions for redundancy.

Challenges in implementing ABDM Compliant Hospital Management Software

• Integration with ABDM APIs is needed to achieve compliance; however, the API documentation was not up to date. Also, the API versions keep checking. During the app development from v1 to V3, we had to reach the APIs and perform code refactoring to ensure the utilization of the latest set of APIs.
• Furthermore, Help from PWC team was provided and explained the API endpoints and the test scenarios to cover to ensure the app compliance checks can be passed.
• Testing of the application with multiple end users who were experts in their domain was a challenge.
• We found the data quite complicated to understand and relied on the client’s team to test and inform us about the expected result in case of any issues. Additionally, we identified key users such as doctors, administrators, nurses, department heads, etc., to ensure coverage of all user scenarios.
• Given the sensitive nature of medical data, ensuring robust security measures against breaches and unauthorized access is paramount.
• The hospital management application ensured data security and privacy through end-to-end encryption for both data at rest and in transit. AWS’s suite of security tools, including IAM for access control, KMS for key management, and VPCs for network isolation, were leveraged. We fortified the APIs with security tokens and rate limiting and conducted regular training sessions for staff on security best practices.
• •  

Project Completion

Duration of Hospital Management Software Implementation

Jan 2023 – Dec 2023 ~ 1 year months 1st Version

@nd Version- Jan 2024 – Present Currently working on Reporting, Enhancements, and Billing , In patient and Out patient feature addition along with M2 Billing

Deliverables for ABDM-Compliant Hospital Management Software

Setting up the AWS environment for the client system

• Custom web application for two environments production and UAT system
•  We delivered the features as agreed in the scope

1. Registration and demographic data collection.
2. Patient history and, furthermore, medical record management.
3. Appointment scheduling and reminders.
4. Patient check-in and waiting list management.
5. ABDM Compliance M1, M2, and M3 scenarios to create Verify ABHA and to manage patients records
6. HIPPA compliance report for managing workloads and following best practices for HIPPA and also ongoing monitoring report. 
7. We developed the following set of core features. 

User: Manages user registration, authentication, roles, and permissions.
Hospital: Multi-tenant application to handle hospital registration, department management, and related configurations.
Doctor: Manages doctor profiles, availability, specialties, and associated scheduling.
Patient: In addition, Interfaces with ABDM for patient data operations, ABHA ID creation, and retrieval of patient health history.

Support

• As part of the project implementation we provide 2 months of Ongoing extended support.
• This also includes 20 hrs a month of development for minor bug fixes and an SLA to cover any system outages or high-priority issues.

Support

After working for 6 months on the project, we took feedback from the Product owner whom we have worked closely for project execution:

Peritos and using AWS have been instrumental in transforming our hospital’s operations for clients. It empowered us to create a custom multi-tenant application that not only meets our current needs but also positions us for future growth and innovation to showcase this to our larger client base and prospects. With a solid system now, we have the confidence to continue our mission of providing exceptional healthcare services to our community, knowing that our technology backbone is secure, reliable, and ready to scale. Additionally, We are happy with the services and look forward to completing more projects in the future with Peritos team.

Akanksha Niranjan

OWNER, EKANSHI SOLUTIONS

Next Phase

We are now looking at the next phase of the project which involves:

1. Furthermore, Ongoing Support and adding new features every Quarter with minor bug fixes

2. Electronic Medical Records (EMR) Integration: Incorporate a system that not only stores patient data but also tracks their entire medical history, including medications, allergies etc
3. AI-Powered Predictive Analysis: Moreover, Use AI and machine learning to analyze patient data for potential health risks, helping doctors make informed decisions

If You Are Looking For Similar Services? Please Get In Touch

Read more

Testimonial

Edward Yarashev

Product Manager | Tonkin + Taylor

Peritos is a team of highly skilled developers, technical experts, and delivery managers. We’ve been very impressed with their commitment. Their developers and delivery managers have conducted themselves with professionalism and diligence at all times, and the quality of the work they have performed has been excellent. Many times, they proposed better solutions, which resulted in better and faster products. Peritos is a reliable AWS Partner. You can trust and be satisfied.

---

(For services and support)

Richard Canny

Ultimation industries | President

“We are very happy with the results of this major IT project with Peritos Solutions. Their staff gained a good knowledge of our business and processes. They were able to work with many of our diverse team members and launch Business Central ERP on time and on budget according to our requirements. We will be using them again for future projects and additional development actions. Thank you!”

---

(For services and support)

Grant Peterson

Software Development Manager | Insight Software

The project was completed on time and as per the agreed budget. The communication was excellent, as was the dedication to quickly turning around the required report development. The overall experience was good, and I would definitely work with the Peritos Team again.

---

(For services and support)

Share us

Facebook

LinkedIn

Twitter

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Get A Quote

Δ

Get in touch and Know more!

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SAP Support Services-ID Card Detection for CumulusPro

SAP Support Services-ID Card Detection for CumulusPro

Find out the features & challenges of implementing Image Processing Border Detection- custom web app development for Cumuluspro.

Technologies

• EmguCV
• Shopify

Use Case

• Custom Web Application

Implementation

About Client

CumulusPro is a Cloud-based digital Image Processing Border Detection and verification platform that delivers a quick and efficient onboarding experience for your customers. CumulusPro helps businesses rapidly transform into digital enterprises by linking people, processes, and applications. Their cloud-based Business Process Management (BPM) Platform is designed to revolutionize how organizations and public institutions digitally communicate and collaborate with their customers, citizens, and partners. Digital businesses improve customer experience and increase customer satisfaction, business efficiency, and productivity while reducing cost and time to market.

• https://cumuluspro.com/solutions/identify-plus/
• Location:Singapore

Project Background- SAP Support Services-ID Card Detection

This project explains how we implemented border detection and able to process the image. This involved taking pictures from the browser camera, Ability to capture images using different browsers and devices and store the images in blob storage and relevant information on the SQL server. Processing of images digitally is of much importance since processes are digitalised and people take picture of different ID cards(driving license, passport etc) and upload for various purpose today(for instance filling online applications and forms for numerous reasons).First level of image processing algorithm is implemented on these images for seamless application processing before they are uploaded in the system due to the presence of various issues in the images like existence of white spaces, skewed image to name a few.

Scope & Requirement

Scope of work for Image Processing Border Detection-custom app development-ID, card detection, and web app development was as below:

• The user captures the image from the camera and should be able to upload the image, which should be
• stored in a suitable format. If the image is not correct, then it should either be asked to be retaken or
• be corrected using a series of algorithms that we implemented
• Ensure the image classification is done, as there were 2 Ids being scanned.
• Change the orientation of the images to de-skew the image to make it 0 degree
• Be able to refine the resolution of the images and detect borders to crop the image
• If not able to correct the image ask the user to retake the image before uploading it to the system
• If taken successfully, store the image in the BLOB server and do OCR to store the important information related to Identification in the corresponding server
• Pre-processing to convert the image to greyscale and reduce the noise and improve image quality and size using PyrDown and PyrUp

Implementation

Technology and Architecture

Technology/ Services used

• Mobile app was deployed with the below technological component
• Backend Code: .NET Core, C#, Node.js
• Mobile App code: React Native
• Web App code: ReactJS
• Database: SQL Server, MongoDB
• Cloud: Microsoft Azure

Integrations

• Integration to read all data from an existing Shopify backend.
• Single Sign-on using Auth0 to register using Google and follow same login procedure as on the Shopify web app.
• Sendgrid to send emails for order processing events

Security:

• All API endpoints are tokenized
• Payment Gateway like paypal would be used which are secure and PCI DSS compliant.

Backup and Recovery

Cloud systems and components used in the attendance management system are secure and 99.99% SLA. We have added HA/DR mechanism to create a replica of the services

Scalability

Application is designed to scale up to 10X times the average load received in the 1st 6 months of its usage and all cloud resources are configured for auto-scaling based on the load

Cost Optimization

Alerts and notifications are configured in the Azure cloud to ensure that if the budget exceeds a notification is sent out

Code Management, Deployment

Code for the app is handed over to the client through Microsoft AppCenter.

CI/CD is implemented to automatically add, build and deploy any code changes on the app side.

Features of Image Processing Border Detection-custom app development

• Automatic ID card border detection and the image cropping
• Removal of skewness (if present)
• Correction of orientation

Challenges

We encountered some ssues as below:

• Establishing a pre-defined system criterion which needs to be met before uploading the picture. This includes deciding threshold value for the image processing algorithms to be implemented for removal of white spaces present on the side of ID card and skewness present in the image captured
• The Canny algorithm used for border detection had some limitations and didn’t work in all the scenarios where ID card had more prominent rectangle drawn on it or an image with white background of a white ID card. These cases didn’t gave a correct collection of lines and may have resulted in incorrect border detection. To overcome this problem we implemented FindContours on binary image which gave us a more reliable result
• We had to cater for devices of varying power and capability since this solution implementation had to run on various platforms. As we got into the testing phase we had to avoid large variation in responsiveness depending on the device used

Project Completion

Deliverables

We used OpenCV library for image processing along with EmguCV wrapper, which is compatible with .NET languages (C#,VB,VC++ etc). We implemented the solution through the following steps:

Down sample -> Noise reduction -> Up-sample -> Image Enlargement

• Edge detection using Canny algorithm(to convert image into collection of lines)
• Detect outermost lines for Border detection through ‘Probabilistic Hough transform’ to filter out lines based on width & length
• Using ‘FindContours’ to find objects at outer most location (to overcome the shortcomings of Hough transform)
• Post processing which includes cropping the image along the border and getting a processed image containing ID card completely and removing any skewness present

Support

• As part of the project implementation we have standard practice of providing 1 month of extended support. This includes any Major / Minor bug fixes.

Testimonial

We took Feedback from stakeholders as below:

Syed Mohd. Atif

Co-Founder Enticed Retail LLP

Next Phase

We are now looking at the next phase of the project, which involves:

1. Images may not be of the same template, so machine learning can be added to identify the image template and process the image accordingly.
2. For a specific template, there should be a training model which helps the system to know how the new image template would look like and to be able to adapt to new template images faster.

If You Are Looking For Similar Services? Please Get In Touch

Read more

Testimonial

Edward Yarashev

Product Manager | Tonkin + Taylor

Peritos is a team of highly skilled developers, technical experts, and delivery managers. We’ve been very impressed with their commitment. Their developers and delivery managers have conducted themselves with professionalism and diligence at all times, and the quality of the work they have performed has been excellent. Many times, they proposed better solutions, which resulted in better and faster products. Peritos is a reliable AWS Partner. You can trust and be satisfied.

---

(For services and support)

Richard Canny

Ultimation industries | President

“We are very happy with the results of this major IT project with Peritos Solutions. Their staff gained a good knowledge of our business and processes. They were able to work with many of our diverse team members and launch Business Central ERP on time and on budget according to our requirements. We will be using them again for future projects and additional development actions. Thank you!”

---

(For services and support)

Grant Peterson

Software Development Manager | Insight Software

The project was completed on time and as per the agreed budget. The communication was excellent, as was the dedication to quickly turning around the required report development. The overall experience was good, and I would definitely work with the Peritos Team again.

---

(For services and support)

Share us

Facebook

LinkedIn

Twitter

WhatsApp

Get A Quote

Δ

Get in touch and Know more!

Email Us

info@peritossolutions.com

Connect with us today

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