Face Mask Detection using Artificial Intelligence for workplaces

Ruchi Sharma, Anmol Sharma, Raunak Jain,Soham Sharma, Sreshtha Singh

2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS)(2022)

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摘要
During the COVID-19 pandemic, face masks detection has become a critical responsibility. Since the pandemic is still ongoing, and workplaces are opening up it is absolutely necessary that all COVID-19 rules & regulations issued by the government which require all employees in a workplace to wear a face mask to be followed. In order to enforce this rule with severity a face mask detection system can be set up in the workplace. This is achieved with the help of artificial intelligence models, face recognition based neural network and transfer learning approach. Once the model is developed it will be integrated with an application which will keep reminding the employee to wear a mask and also keep records and track of the times the employee was liable to pay a penalty.
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关键词
COVID-19,Artificial intelligence,Machine Learning,YOLO,Deep learning,CNN,Transfer Learning
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