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UPSC to deploy advanced AI-based surveillance for exam security
The Union Public Service Commission (UPSC) is set to enhance exam security with the deployment of advanced facial recognition and AI-based CCTV systems, as reported by PTI. This initiative, spurred by recent exam irregularities, includes Aadhaar-based fingerprint authentication, facial recognition, QR code scanning of e-admit cards, and live AI-driven video monitoring. The UPSC, which conducts major exams like the prestigious civil services exam for IAS, IFS, and IPS officers, sees an estimated 2.6 million candidates annually.
The new surveillance systems will cover approximately 80 exam centres nationwide, aiming for a minimum camera-to-candidate ratio of 1:24 to eliminate blind spots. The AI-enabled CCTV setup will monitor exam venues comprehensively, generating alerts for suspicious activities or system anomalies. The tender for these technologies, closing on July 7, 2024, underscores the commission’s commitment to free, fair, and impartial examinations.
Amidst ongoing CBI investigations into alleged irregularities in exams like UGC-NET and NEET-UG, the UPSC’s move highlights the urgency of secure exam administration. The systems will ensure real-time attendance monitoring and proactive alerts for unauthorised movements or disruptions.
Key tech solutions sought in the tender include:
- Fingerprint and Facial Recognition with e-Admit Card Scanning: Utilising Aadhaar-based fingerprint authentication and facial recognition for candidate identification, along with QR code scanning of e-admit cards.
- Live AI-based CCTV Surveillance: Leveraging AI to monitor exam halls in real-time, detecting and alerting for unauthorised movements, improper furniture arrangements, offline or tampered CCTV cameras, movements outside exam hours, and prolonged invigilator inactivity.
This advanced setup is designed to uphold the integrity of UPSC exams by preventing cheating, fraud, and impersonation, ensuring fair conduct across all exam centers.
