GitHub / 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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fazildgr8%2FtouchlessClockin_project
PURL: pkg:github/fazildgr8/touchlessClockin_project
Stars: 3
Forks: 1
Open issues: 0
License: mit
Language: Python
Size: 12.5 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: almost 3 years ago
Pushed at: over 4 years ago
Last synced at: over 2 years ago
Topics: cloud-computing, deep-learning, dlib-face-recognition, face-descriptions, face-recognition, firebase, institution, node-red, touchless-systems