Abstract:
Deep learning and transfer learning are extremely important in the internet sector and the health care industry. Face recognition technology is essential in practically e...Show MoreMetadata
Abstract:
Deep learning and transfer learning are extremely important in the internet sector and the health care industry. Face recognition technology is essential in practically every industry in our digital age. Several improvements have been made to automatic facial recognition (AFR) technology in an ever-changing world. Managing the daily student attendance system is made simple with Smart attendance with Real-Time Face Recognition. In the proposed method, Images of the students in class are used to construct a dataset. Both Face detection and recognition are performed using the Multitask Convolution Neural Network algorithm. The data will be uploaded after the face is recognition. The proposed method compared with Haar Cascade Convolution Neural Network Classification method and other few methods. The proposed method produced better resultcompared to other methods
Published in: 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)
Date of Conference: 22-23 February 2024
Date Added to IEEE Xplore: 01 May 2024
ISBN Information: