https://github.com/acharan-tech-200037/squint_detection_with_deeplearnig

this project is aimed to detect the squinted eyes , where we made research and we used mathematical concepts for finding distances from landmarks and we use deep learning for identying the landmarks like pupil and canthus and also we built an hardware setup using arduino and camera module to capture and analyze the eye images
https://github.com/acharan-tech-200037/squint_detection_with_deeplearnig

auduino camera deep-learning distance-measures dlib-face-detection python

Last synced: about 2 months ago
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this project is aimed to detect the squinted eyes , where we made research and we used mathematical concepts for finding distances from landmarks and we use deep learning for identying the landmarks like pupil and canthus and also we built an hardware setup using arduino and camera module to capture and analyze the eye images

• Host: GitHub
• URL: https://github.com/acharan-tech-200037/squint_detection_with_deeplearnig
• Owner: acharan-tech-200037
• Created: 2024-11-17T08:18:02.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-02T06:27:39.000Z (over 1 year ago)
• Last Synced: 2026-03-19T23:59:15.139Z (3 months ago)
• Topics: auduino, camera, deep-learning, distance-measures, dlib-face-detection, python
• Language: Jupyter Notebook
• Homepage: https://drive.google.com/file/d/18LaJGlsCLIMEL54sDSkWnq69wBm4Iuou/view?usp=drivesdk
• Size: 8.94 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
## it was not deployed , but the work is shown in healthy_eye_test1.ipynb and R200037.pdf file file above