| Title | SWARM: Sanitizer With Attendance through Remote Monitoring |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Malla, Sai Anish, Kapoor, Khushee, Kejariwal, Adithya, Rao, Vidya, Kundapur, Poornimaa Panduranga |
| Conference Name | 2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER) |
| Date Published | oct |
| Keywords | Attendance monitoring, Bar codes, composability, compositionality, COVID-19, Data Sanitization, OpenCV, Protocols, Prototypes, pubcrawl, Raspberry Pi3, resilience, Resiliency, sanitization, surgery, Switches, Very large scale integration |
| Abstract | 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. |
| DOI | 10.1109/DISCOVER55800.2022.9974751 |
| Citation Key | malla_swarm_2022 |
SWARM: Sanitizer With Attendance through Remote Monitoring