https://github.com/amaansayyad/covid-19_face_mask_recognition_system

The Face Mask Recognition System uses AI technology to detect the person with or without a mask. It can be connected with any surveillance system installed at your premises. The authorities or admin can check the person through the system to confirm whether the person is wearing a mask or not.
https://github.com/amaansayyad/covid-19_face_mask_recognition_system

computer-vision coronavirus covid-19 covid19 deep-learning face-detection face-recognition facemask-detection human-pose-estimation jupyter-notebook keras keras-tensorflow machinelearning opencv python3 tenserflow trending

Last synced: about 7 hours ago
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The Face Mask Recognition System uses AI technology to detect the person with or without a mask. It can be connected with any surveillance system installed at your premises. The authorities or admin can check the person through the system to confirm whether the person is wearing a mask or not.

• Host: GitHub
• URL: https://github.com/amaansayyad/covid-19_face_mask_recognition_system
• Owner: AmaanSayyad
• License: mit
• Created: 2020-12-14T15:38:07.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-06-16T07:22:10.000Z (over 2 years ago)
• Last Synced: 2024-05-01T16:42:41.292Z (6 months ago)
• Topics: computer-vision, coronavirus, covid-19, covid19, deep-learning, face-detection, face-recognition, facemask-detection, human-pose-estimation, jupyter-notebook, keras, keras-tensorflow, machinelearning, opencv, python3, tenserflow, trending
• Language: Python
• Homepage:
• Size: 141 KB
• Stars: 8
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        
## "An AI and Computer Vision based Face Mask Recognition & Detection System"



  

  

  





  

  

  



### ~ A Fully Fledged, Automated Recognition and Detection System.

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Face masks are crucial in minimizing the propagation of Covid-19 and are highly recommended or even obligatory in many situations. 

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The Proposed System can be used in real-time applications which require face-mask detection for safety purposes due to the outbreak of Covid-19. This model can be integrated with embedded systems for application in airports, railway stations, offices, schools and public places to ensure that public safety guidelines are followed.

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The technology assures reliable and real-time (Video Stream) & face detection of public/private users wearing masks. Besides, the system is easy to deploy into any existing system of a business while keeping the safety and privacy of users’ data. Thus Ensuring Human Safety & Human Life is the ultimate aim.



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Output Screen



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#### Implemented Features Overview:

- [x] Detects Facial expression change.

- [x] Understands Pose change.

- [x] Scaling factor (i.e. size of the image)

- [x] Presence and absence of spectacles, beard, mustache etc.

- [x] Occlusion due to scarf, mask or obstacles in front.

- [x] The shape and color of a mask.

- [x] Overcomes “failure to enroll or template” (FTE).

- [x] The Model provides accurate in-percentage accuracy.

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