BENGALURU: A candidate who tried to write the CET exam at the last minute was identified as an imposter by a QR code-based facial recognition app at Silver Valley Public PU College, 7th Cross, Malleswaram. Following this, an investigation has been ordered.
The impersonator, identified as Tuba Fatima Jamil, was posing as Tabu Naz and tried to take the mathematics exam using a fake identity card with the latter’s photo and incorrect exam dates. The QR code-based facial recognition app developed by the Karnataka Examination Authority (KEA) detected the impersonation attempt.

The Karnataka Examination Authority’s Executive Director H Prasanna and Administrative Officer Islamuddin Gadyal visited the examination centre of Government PU College on 18th Cross Road, Malleswaram on Thursday to oversee the process and personally checked the candidates through the QR code-based facial recognition app.
#UGCET-25 ಬೆಂಗಳೂರಿನ ಪರೀಕ್ಷಾ ಕೇಂದ್ರವೊಂದಕ್ಕೆ ಇಂದು ಭೇಟಿ ನೀಡಿದ #KEA ED ಎಚ್.ಪ್ರಸನ್ನ, #AO ಇಸ್ಲಾವುದ್ದೀನ್ ಗದ್ಯಾಳ ಅವರು ಕ್ಯೂಆರ್ ಕೋಡ್ ಮೂಲಕ ಮುಖ ಚಹರೆ ಪತ್ತೆ ವ್ಯವಸ್ಥೆಯನ್ನು ಪರಿಶೀಲಿಸಿದರು. ಸ್ವತಃ ಕ್ಯೂಆರ್ ಕೋಡ್ ಸ್ಕ್ಯಾನ್ ಮಾಡಿ ವಿದ್ಯಾರ್ಥಿಗಳ ಭಾವಚಿತ್ರ ತೆಗೆದು ನೈಜತೆ ಪರಿಶೀಲಿಸಿದರು@CMofKarnataka@drmcsudhakar pic.twitter.com/ZXIbZnw6hR
— ಕರ್ನಾಟಕ ಪರೀಕ್ಷಾ ಪ್ರಾಧಿಕಾರ KEA (@KEA_karnataka) April 17, 2025
The KEA Director reported that Tuba Fatima Jamil had glued her photo on to Tabu Naz’s admission card. It is also known that she had entered the exam dates incorrectly. The college principal has been instructed to submit a report with video footage in this regard. “The authorities have ordered an investigation and legal action will be taken following the report, including video footage, from the college principal”, he said.

The KEA’s new QR code-based facial recognition system has proven effective in detecting impersonators. The system worked smoothly without any technical issues on its second day of implementation. The officers expressed appreciation regarding the functioning of app, developed and implemented for the first time by KEA. Both the officials themselves scanned the QR code, took photographs of the students and verified their authenticity.
