https://github.com/Ashamaria/Safe-distance-tracker-using-YOLOv3-v3

Main aim is crowd surveillance and security maintenance. This system can be utilized for events, private property or places that have massive streams of people entering and leaving the area, which necessitates vigilant tracking and identification of all individuals within the premises by using deep learning techniques.
https://github.com/Ashamaria/Safe-distance-tracker-using-YOLOv3-v3

Last synced: 5 months ago
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Main aim is crowd surveillance and security maintenance. This system can be utilized for events, private property or places that have massive streams of people entering and leaving the area, which necessitates vigilant tracking and identification of all individuals within the premises by using deep learning techniques.

• Host: GitHub
• URL: https://github.com/Ashamaria/Safe-distance-tracker-using-YOLOv3-v3
• Owner: Ashamaria
• License: mit
• Created: 2022-04-28T19:12:51.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-05-20T20:06:12.000Z (almost 3 years ago)
• Last Synced: 2024-08-02T01:22:56.418Z (9 months ago)
• Language: Python
• Size: 3.07 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-yolo-object-detection - Ashamaria/Safe-distance-tracker-using-YOLOv3-v3 - distance-tracker-using-YOLOv3-v3?style=social"/> : Safe Distance Tracker. (Object Detection Applications)