Osmania University to use cutting-edge technology to restrict unauthorised persons entry into mess

Equipped with facial recognition systems (FRS), the CCTV cameras integrated with Artificial Intelligence (AI) and Machine Learning (ML) at mess facilities will soon capture the images of students availing the mess and synchronize details like name, roll number and mess number with the available database.

Osmania University to use cutting-edge technology to restrict unauthorised persons entry into mess

Osmania University (OU) has decided to use cutting edge technologies as a means to record attendance, besides cutting down the entry of unauthorized persons at the mess facilities. Equipped with facial recognition systems (FRS), the CCTV cameras integrated with Artificial Intelligence (AI) and Machine Learning (ML) at mess facilities will soon capture the images of students availing the mess and synchronize details like name, roll number and mess number with the available database.

The new initiative will come with two benefits for the university administration – recording attendance and monitoring those availing the mess facilities. It also helps the mess management in cases of impersonation or if students make false claims of not availing the facility despite taking the same. Presently, officials at the mess mark attendance in the registers against students’ mess number.

“The university has decided to integrate facial recognition systems into surveillance cameras which will be installed in the mess facilities. This new system will be implemented from this academic year itself,” a senior official said.

Presently, the university campus including colleges and various buildings is under cover of 808 CCTV cameras. Another 215 cameras are proposed to be installed in uncovered areas.

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