Face mask recognition for COVID-19

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  End - To - End COVID-19 Solution

Face Mask recognition:

What it does : The application identifies who all in the image are wearing a face mask. It can be used for single person image or even group image.

How we built it : Python code first identifies the number of faces in the image. Then it checks whether every face has a mask on it or not. Once python checks for face mask in every image, automation anywhere BOT will create a report to show how many people had face mask or not

Challenges we ran into : Create a object detection algorithm from scratch was a difficult task as it required proper environment setup and integration.

Accomplishments that we're proud of: The algorithm is accuracy is same as that any prebuilt object detection recognition tool in market

What we learned: Building python algorithms from scratch and also integrating them with RPA tools

What's next for Face mask recognition for COVID-19 : we are working on a full fledged solution for COVID19 were the algorithms for face mask, face recognition, social distancing, temperature check will all be integrated with automation anywhere and the final report will have details of all

Built With

• python