UPSC Proposes AI-Based CCTV Surveillance

UPSC Proposes AI-Based CCTV Surveillance

Last Updated Jun - 25 - 2024, 06:04 PM | Source : The India Express | Visitors : 9

Amid NEET and NET exam controversies, UPSC will employ AI-based CCTV surveillance and facial recognition to prevent cheating and impersonation in exams. A tende
UPSC Proposes AI-Based CCTV Surveillance

The nation's top recruiting organisation, UPSC, has chosen to employ facial recognition and an AI-based CCTV surveillance technology to stop cheating and impersonation in its numerous tests, amid the simmering disputes surrounding purported anomalies in the NEET and NET exams.

In order to develop two tech solutions—"Aadhaar-based fingerprint authentication (else digital fingerprint capturing) and facial recognition of candidates and QR code scanning of e-admit cards" and "Live AI-based CCTV surveillance service"—to be used during the examination process, it recently released a tender to solicit bids from seasoned public sector undertakings.

“The UPSC attaches great importance to the conduct of its examinations in a free, fair and impartial manner. In its endeavor to fulfill these objectives, the Commission intends to make use of the latest digital technology to match and cross-check the biometric details of the candidates and to monitor various activities of the candidates during the examination to prevent cheating, fraud, unfair means and impersonation,” read the tender document dated June 3, 2024.

Accordingly, the Commission has desired to incorporate Aadhaar-based fingerprint authentication (else digital fingerprint capturing) and facial recognition of candidates, scanning of QR Code of e-admit cards and monitoring through live AI-based CCTV video surveillance, it said.

The move is aimed at strengthening the examination process and eliminating the possibility of malpractices by the candidates.

The selected service provider will use the data provided by the UPSC for Aadhaar-based fingerprint authentication of candidates and facial recognition during the exam, according to the scope of work mentioned in the tender document.

“Provision should be made for a real-time attendance monitoring system through secured web servers. System should have provision for real time monitoring of the enrolment activity along with GPS coordinates against every enrolment and time stamp to ensure that enrolment is done during the stipulated shift,” it said.

The Commission said that facial recognition should be performed in a completely stateless transaction of two images — one provided during the online registration and the other captured on the day of the exam.

The UPSC said that it has decided to implement CCTV/video surveillance with recording and live broadcast systems to monitor various activities of the candidates and other persons deployed to conduct the Commission’s examinations at the various centres/venues across the country under a secure environment.

“The service provider has to install adequate number of CCTV colour cameras in every classroom (minimum 1 CCTV camera for 24 candidates), entry/exit gate and control room (where pre-examination sensitive material will be kept and opened and post-examination sensitive material will be packed) of every examination venue,” the document said.

The UPSC said that the service provider will install one CCTV camera for every 24 candidates at each exam hall/room “subject to the condition that at least 1 CCTV camera is installed in every room irrespective of candidates being less than 24.” In case of the exam hall/room having more than 24 candidates, one CCTV camera for every 24 candidates shall be installed ensuring that the CCTV camera to candidate ratio is not less than 1:24 and that there are zero blind spots, it added.

The AI-based video system needs to be capable of generating alerts “if any movement is detected at entry/exit gates during examination,” and “if the furniture inside the classrooms is not properly arranged.” It will also alert the authorities “if the cameras are offline or are tempered (sic) by masking or black screen,” “if there is any movement in classrooms 1 hour before or after the exam” and “if Invigilator is not moving even after the specified time/inactivity is detected in Invigilator’s movement,” the tender document said.

The AI should raise red flags at incidents which would indicate cheating, unfair means, absence of invigilators etc, it added. The date of closure of the bid document is July 7, 1 pm. The bid will be opened on the same day at 1.30 pm.

The UPSC's announcement is noteworthy because the Central government is under pressure regarding purported irregularities in the administration of the UGC-NET (University Grants Commission-National Eligibility Test), which assesses an Indian national's eligibility for assistant professorships and junior research fellowships, and the National Eligibility-cum-Entrance Test (Undergraduate), also known as NEET-UG, a medical entrance exam.

Stay ahead with educational updates! Join our WhatsApp channel now for the latest insights and knowledge boosts. Don’t miss out, join today!

Share :

Trending this week

Supreme Court Questions Centre: ‘Was Entire NEET Paper Solved Before Exam?’

Jul - 19

The Supreme Court heard a number of petitions on Thursday seeking a re-test or cancellation of the 2024 NEET-UG – for admission to undergradu... Read More

IIT Guwahati Researchers Find RNA-Destroying Role, More Details

Jul - 19

The biochemistry of the African Swine Fever Virus (ASFV) protein has been studied by researchers at the Indian Institute of Technology Guwahati (II... Read More

61st Convocation at IIT Madras: Achievements and Highlights

Jul - 19

The Indian Institute of Technology (IIT) Madras held its 61st convocation, where 2,636 students graduated, with 3,016 degrees awarded, including jo... Read More