fazildgr8/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.

Language: Python - Size: 12.5 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1