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What it does
In an age where identity verification is critical — from catching criminals to simplifying KYC — traditional systems still rely on manual checks, ID cards, or OTPs, which can be slow, prone to fraud, or simply outdated. There’s a growing need for fast, accurate, and contactless identity verification that works in real time.
That’s where the Facial Recognition Verification System comes in. This powerful tool uses facial biometrics to instantly verify an individual’s identity and fetch associated records like Aadhaar, PAN, passport details, or criminal history — all just from a face. Whether it’s used for security screening, KYC processing, or public surveillance, the system matches faces from a live camera feed against a secure database, ensuring high accuracy and speed. Built using Python, OpenCV, and SQLite, it supports live face registration, intelligent matching, and future scalability with national identity integrations. From government use-cases to corporate verification needs, this system brings facial recognition to the next level — secure, smart, and seamless.
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Notes made and lesson learnt while implementing this project