TY - GEN
T1 - SWARM
T2 - 6th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022
AU - Malla, Sai Anish
AU - Kapoor, Khushee
AU - Kejariwal, Adithya
AU - Rao, Vidya
AU - Kundapur, Poornimaa Panduranga
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With Covid19 being endemic, it is very essential to continue proper physical hygiene protocols even today to avoid escalation. To ensure hygiene inside educational institutions, many governing bodies-imposed protocols to insist students wear hand gloves and facemasks. Such an implementation, however, has increased surgical waste in and around educational institutions, and also there is a rise in allergies due to the constant use of hand gloves by the students. Hence, a prototype of a hand sanitization-based attendance monitoring system has been proposed in the current research paper. This proposed sanitizer with attendance through remote monitoring (SWARM) uses Raspberry Pi devices to capture the image of a student's identity card holding the registration number and through a bar code analysis module of computer vision, the ID number is extracted. This ID number is compared with a master attendance file to mark the students' presence and then the updated file is shared with the concerned teacher via email. Such a setup is installed in the laboratory premise, thereby reducing the unnecessary use and disposal of surgical waste within the educational premise.
AB - With Covid19 being endemic, it is very essential to continue proper physical hygiene protocols even today to avoid escalation. To ensure hygiene inside educational institutions, many governing bodies-imposed protocols to insist students wear hand gloves and facemasks. Such an implementation, however, has increased surgical waste in and around educational institutions, and also there is a rise in allergies due to the constant use of hand gloves by the students. Hence, a prototype of a hand sanitization-based attendance monitoring system has been proposed in the current research paper. This proposed sanitizer with attendance through remote monitoring (SWARM) uses Raspberry Pi devices to capture the image of a student's identity card holding the registration number and through a bar code analysis module of computer vision, the ID number is extracted. This ID number is compared with a master attendance file to mark the students' presence and then the updated file is shared with the concerned teacher via email. Such a setup is installed in the laboratory premise, thereby reducing the unnecessary use and disposal of surgical waste within the educational premise.
UR - http://www.scopus.com/inward/record.url?scp=85145348391&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85145348391&partnerID=8YFLogxK
U2 - 10.1109/DISCOVER55800.2022.9974751
DO - 10.1109/DISCOVER55800.2022.9974751
M3 - Conference contribution
AN - SCOPUS:85145348391
T3 - 2022 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022 - Proceedings
SP - 316
EP - 319
BT - 2022 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 October 2022 through 15 October 2022
ER -