Publication Type : Conference Paper
Publisher : IEEE
Source : International Conference on Computing, Analytics and Networks
Url : https://ieeexplore.ieee.org/document/10007125
Campus : Coimbatore
School : School of Artificial Intelligence - Coimbatore
Year : 2022
Abstract : Artificial intelligence is now penetrating into all the domains. Any domain can incorporate artificial intelligence to automate their process. In the outbreak of COVID pandemic, artificial intelligence has been very useful in many ways. artificial intelligence helps in automating process where it’s not always possible for people to do and to reduce the wastage of human resource. Here we proposed a frame work to automate the detection of covid protocol violation in public places. Our work detecting people with & without masks and detects social distancing with a single model. The best performing model from the standard convolution neural network architectures namely VGG16 and MobileNetV2 are used in the present work, from the experiments it’s found that MobileNetV2 outperformed VGG16. The developed system can easily be integrated/implemented on various embedded devices with limited computational capacity by using the MobileNetV2 architecture. Compared to other previous works, our work outstands by having good accuracy and compatible to use in real life application because of its requirement of less computational complexity.
Cite this Research Publication : Kabilan, N., Sajith Variyar VV, P. Adithan, V. Sowmya, and PS Sai Ganesh. "Artificial Intelligence Framework for COVID Protocol Detection." In 2022 3rd International Conference on Computing, Analytics and Networks (ICAN), pp. 1-4. IEEE, 2022.