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Mask-Index

A simple yet effective monitor to keep our community informed about percentage mask usage in public spaces. Fighting SARS-COVID-19 will need all of us to act responsibly, to keep ourselves, and the people around us safe.

With the help of computer vision and artificial intelligence, our solution lets people visualize how well citizens are conforming to mask guidelines. Our website displays a series of cameras on a map which is updated real time about the mask usage stats from the respective AI algorithms running on the camera systems.

https://michellewen3.github.io/Social-Distancing-Monitor/

#Software and tools Machine Learning and Computer Vision: OpenCV, DarkNet Neural Network, Google Colab Data: Google Firebase Realtime Database Website: HTML, CSS, Bootstrap, JavaScript, Google Maps Javascript API, Google Firebase JavaScript SDK

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YOLO-v4 Mask detector with bootstrap map visualization.

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  • JavaScript 91.8%
  • Python 4.0%
  • HTML 3.7%
  • CSS 0.5%