Face recognition based automated student attendance system
Main Article Content
Abstract
Face recognition technologies have gone so far in the modern world. The usage of real-time facial recognition is an efficient solution which improves the student attendance system. Previously considered inaccurate and unfinished, face recognition, driven by progress in Deep Learning, is now asserting itself as one of the most advanced biometric identification technology. Thus, many universities around the world integrate it into their teaching platforms. Face recognition is an open door to distance education too, so these programs are on the rise. It helps in conversion of the frames of the video into images so that the face of the student can be easily recognized for their attendance so that the attendance database can be easily reflected automatically
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.