Admunzi / Artificial-Vision-Recognition-with-Django

This programm recognise different objects from a video. Used technologies: Yolov8 and Django

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Artificial Vision Recogition with Django

⚠️ UNDER DEVELOPMENT ⚠️

Description

This is a repository to be able to recognize from a video the different objects that can be detected with yolov8 through a web using Django.

Demo video

Here is a quick demo showcasing the capabilities of the project:

demo.mp4

Potential Applications

  • Surveillance: Enhance security measures by identifying and tracking objects in surveillance videos.
  • Video Analysis: Conduct in-depth analysis of video content for various purposes such as research, marketing, or content curation.
  • Autonomous Vehicles: Implement object recognition for advanced driver-assistance systems (ADAS) and autonomous vehicles.
  • Industrial Automation: Integrate the system into manufacturing processes to automate quality control or object tracking.
  • Custom Applications: Use the repository as a base for developing custom applications that require video object recognition.

Feel free to explore the repository and contribute to this exciting project!

About

This programm recognise different objects from a video. Used technologies: Yolov8 and Django


Languages

Language:Python 43.2%Language:JavaScript 29.1%Language:HTML 16.2%Language:CSS 11.5%