CNN BASED PATHWAY CONTROL TO PREVENT COVID SPREAD USING FACE MASK AND BODY TEMPERATURE DETECTION
DOI:
https://doi.org/10.47750/pnr.2022.13.S04.164Keywords:
Deep learning, CNN, Object Detection Technology, Temperature Sensor, Gate Motor.Abstract
Airborne diseases cause detriment in the human life. Many were found in history such as TB, SARS, MERS and
recently COVID 19. These diseases hit the dead rate and crushes health and wealth of the world population. Mostly,
airborne diseases will spread rapidly in crowdy places. Especially, in case of COVID-19, Wearing mask and
monitoring body temperature by individual is good solution to prevent rapid spread of the disease. So, keeping safety
measures in monitoring face mask and body temperature is crucial in crowdy places such as Airports, railway stations,
Bus Stations, malls, temples, etc. is obligatory. With a focus on emphasizing the health of the people we proposed
integrated system that monitors body temperature and face mask of each individual and open/close pathway gate to
allow after knee verification. Proposed Prototype uses Raspberry pi to monitor Face mask using CNN and Arduino to
monitor body temperature and enable motor drivers to open or close the pathway Gate. Efficiency and loss of Proposed
CNN model was trained and tested with multiple epoches.
