An Intelligent Sensor based Automatic Attendance Management System Using IoT
Article Sidebar
Main Article Content
Abstract
The need for intelligent and distributed monitoring systems based on sensor networks of diverse application systems is growing as a result of the field of industrial control in network applications developing so quickly. It is required to check the body temperatures and attendance when students and staffs visit schools and colleges during this COVID 19 pandemic. A solution is developed here for the purpose of tracking temperatures and attendance management using a smart thermometer without being in contact in order to keep social distance. The person (both staff and student) faces are captured by the ESP32 Camera for training and testing purposes. After the training is over, the ESP32 Micro Controller board registers the student or faculty facial image. For attendance purposes, the MLX90614 IR Temperature Sensor will measure the body temperature of students or instructors. Both the collected data and the email-based attendance notification will be transferred to the cloud using IoT. The message "Please leave the college and take care of your health" will be communicated to the person if their temperature exceeds the threshold level.
Article Details
References
M. Bansal, M and S. Garg, S, “Internet of Things (IoT) based assistive devices,” In IEEE 6th International Conference on Inventive Computation Technologies (ICICT), 2021, January, pp. 1006-1009.
F.N.S Fikri and S. Widyarto, “Software engineering professional case study of advantage internet of thing in business industry,” In Proceedings of the Informatics Conference, Mar. 2017, Vol. 2, No. 3.
A. Elmahmudi and H. Ugail, “Deep face recognition using imperfect facial data,” Future Generation Computer Systems, 2019, Vol. 99, pp. 213-225.
S. Sawhney, K. Kacker, S. Jain, S.N. Singh and R. Garg, “Real-time smart attendance system using face recognition techniques,” In IEEE 9th international conference on cloud computing, data science & engineering (Confluence), Jan. 2019, pp. 522-525.
M. Sutar, M. Patil, and S. Waghmare, “Smart attendance system using RFID in IoT,” International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2016, vol. 5, no. 4, pp. 1155-1159.
P. Wagh, R. Thakare, J. Chaudhari, and S. “Patil Attendance system based on face recognition using eigen face and PCA algorithms,” In IEEE International Conference on Green Computing and Internet of Things (ICGCIoT), Oct. 2015, pp. 303-308).
F. R. Basthomi, K. Nasikhin, R. A. Saadah, D. D. Prasetyo, M. Syaiin, N. Rinanto and A. A. Soeprijanto, “Implementation of RFID attendance system with face detection using validation viola-jones and local binary pattern histogram method,” In IEEE International Symposium on Electronics and Smart Devices (ISESD), Oct. 2019, pp. 1-6.
W. Zeng, Q. Meng and R. Li, “Design of intelligent classroom attendance system based on face recognition,” In IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Mar. 2019, pp. 611-615.
A. A. Raj, M. Shoheb, K. Arvind and K. S. Chethan, “Face recognition based smart attendance system,” In International Conference on Intelligent Engineering and Management (ICIEM), Jun. 2020, pp. 354-357.
A. Anand, V. Jha and L. Sharma “An improved local binary patterns histograms techniques for face recognition for real time application,” International Journal of Recent Technology and Engineering, 2019, vol. 8, no. 27, pp. 524-529.
K. Bhatti, L. Mughal, F. Khuhawar and S. Memon, “Smart attendance management system using face recognition,” EAI Endorsed Transactions on Creative Technologies, 2018, vol. 5, no. 17.
D. Patra, A. Agrawal, A. Srivastav and J. Kathirvelan, “Contactless Attendance cum Temperature Detection System with Real-time Alerts,” In 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), Nov. 2021, pp. 1-6.
E. C. Joseph and G. O. Moses, “Development of an IoT-based Students’ Attendance Monitoring System,” International Journal of Engineering Research and Technology (IJRET), 2019, vol. 8, no.12, pp. 653-658.
A. Rashmi, S. Brindha, S. B. Srinithin and A. Gnanasudharsan, “Smart Attendance System Using RFID and Face ID,” International Conference on Communication, Computing and Internet of Things (IC3IoT), Mar. 2022, pp. 1-5.
H. Sultan, M. H. Zafar, S. Anwer, A. Waris, H. Ijaz and M. Sarwar, “Real time face recognition based attendance system for university classroom,” 2nd International Conference on Artificial Intelligence (ICAI), Mar. 2022, pp. 165-168.
H. Yang and X. Han, “Face recognition attendance system based on real-time video processing,” IEEE Access, vol.8, pp. 159143-159150.