/touchlessClockin_project

This is a computer vision based project developed admist the pandemic situation where touchless systems are required everywhere. It uses face recognition and deep learning to identify employees/members of an institution to check in or check out of the system without touching, It uses voice interaction and has a sophisticated interface done with opencv. It is also integrated with google's firebase which is a cloud managed structureless database which stores all the user data, time stamped images for security and face descriptions. A UI for the administrator is also developed using NodeRed platform which can be used to monitor the user checkin activities.

Primary LanguagePythonMIT LicenseMIT

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