Research Article
Smart Attendance Management System Using Raspberry Pi and Deep Learning Technique
@INPROCEEDINGS{10.4108/eai.7-12-2021.2315121, author={Ashok Kumar L and Indragandhi V and Chitra A and Rajat PauL and Saswata Banerjee}, title={Smart Attendance Management System Using Raspberry Pi and Deep Learning Technique}, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={deep learning machine learning opencv computer vision raspberry pi nvidia jetson nano}, doi={10.4108/eai.7-12-2021.2315121} }- Ashok Kumar L
Indragandhi V
Chitra A
Rajat PauL
Saswata Banerjee
Year: 2021
Smart Attendance Management System Using Raspberry Pi and Deep Learning Technique
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2315121
Abstract
Smart attendance system using face-recognition in real-time is an essential real-world solution which comes with day to day activities like handling employees/students. This task indeed is a challenge, as performing background subtraction in an image in real-time is still a highly complex operation. This works attempts to develop a smart attendance management system using deep learning technique. To detect real-time human face Haar Cascade classifier is used and a simple fast Local Binary Patterns Histograms (LBPH).Face recognizer are used to accurately recognize the faces that are identified. The employees' attendance is then recorded using the matching face.After marking the attendance, the names are stored in a file which is then sent automatically to the authorised person. This work employs raspberry pi for real time implementation of the proposed smart attendance scheme.