Many platforms rely on Aadhaar for identity verification, but the process typically involves manual validation — slow, error-prone, and vulnerable to spoofing. The objective was to build a system that automatically compares a user’s current photo with the Aadhaar photo, operates in real-time through a web API, and runs on a serverless infrastructure for cost-efficiency and scale.
Problem Statement
Many platforms rely on Aadhaar for identity verification, but the process typically involves manual validation — slow, error-prone, and vulnerable to spoofing.
The objective was to build a system that:
- Automatically compares a user’s current photo with the Aadhaar photo
- Operates in real-time through a web API
- Runs on a serverless infrastructure for cost-efficiency and scale
Solution
We developed a facial recognition pipeline capable of extracting deep facial embeddings and comparing images using facial similarity metrics. The process is optimized to run in cloud environments with minimal latency.
Key Features
- Photo Preprocessing: Aadhaar and live images are auto-cropped to detect facial features.
- Face Matching: Embeddings from both images are compared using Euclidean distance.
- Threshold-Based Verification: Adjustable similarity thresholds determine pass/fail results.
- Web-Friendly API: Deployable as a plug-and-play REST API for apps and internal systems.
Benefits
- Real-Time Verification: Instant Aadhaar face match response via API.
- Cloud-Optimized: Deploys serverless for cost savings and scalability.
- Higher Accuracy: Facial embedding comparison ensures precision with tunable thresholds.
- Security First: Eliminates spoofing risks with live capture validation.
- API-Ready: Easy integration into web portals, mobile apps, and kiosks.
Conclusion
This Aadhaar-based facial recognition system delivers a modern, secure, and scalable solution for identity verification. It eliminates the need for manual checks, streamlines onboarding, and enhances user trust. Built with real-world performance and enterprise integration in mind, it’s ready for deployment across public and private sector platforms.
Similar Use Cases / Applications
- eKYC: Aadhaar-based customer verification in fintech and banking.
- Govt Schemes: Authenticate users during welfare application or disbursal.
- Kiosks: Aadhaar face match for walk-in service desks or public service stations.
- Remote Onboarding: Verify identity for new hires in distributed teams.
