WEBRTC Based Face Recognition Attendance System |
Author(s): |
| Pujatai Dilip Karale , D.Y.Patil School of Engineering, Ambi, Pune; Prof. S .G. Bari, D.Y.Patil School of Engineering, Ambi, Pune |
Keywords: |
| Student Management, Image Processing, ELK, k- NN and Convolutional Neural Networks (CNN) |
Abstract |
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Webrtc has proved itself in getting and sending video streams now we need to think beyond this and see how we can utilize these streams in doing some AI/ML stuff. With this system what we are trying to propose is a real time face recognition attendance system, it would not only be capable of identifying the faces in an image but will also try to identify a person in the image. The overall objective is to identify the faces in a live stream of a video, i.e. the stream might come from a video recording (CCTV) or it can also identify the faces from a WEBRTC video stream. Today due to covid19 epidemic most of the interactions are being conducted online or via internet. This would also be a contact less authentication system if integrated with the suitable hardware. |
Other Details |
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Paper ID: IJSRDV8I70386 Published in: Volume : 8, Issue : 7 Publication Date: 01/10/2020 Page(s): 782-784 |
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