The mobile application helps organisations to clock attendance through an android device (phone or a tablet), using face recognition.
Hyderabad: A mechanical engineering student from class of 2020, Kartikeya Bhardwaj, of Mahindra University has developed a deep learning mobile application ‘Chakshu Face Attendance’, to provide employers, institutions and organisations with touch less recording of attendance attributes.
In view of the Covid-19 pandemic, the app provides a safe alternative to touch-based fingerprint attendance systems. The mobile application helps organisations to clock attendance through an android device (phone or a tablet), using face recognition.
“A strong anti-spoofing provision makes the Chakshu Face Attendance a highly reliable face attendance system. The app is secure, efficient and highly scalable,” said Kartikeya Bhardwaj, founder, Chakshu.ai.
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