https://github.com/alich03/shoplifting-detection-using-yolov8

Shoplifting Detection
https://github.com/alich03/shoplifting-detection-using-yolov8

django shoplifting shoplifting-prevention yolo

Last synced: 11 days ago
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Shoplifting Detection

• Host: GitHub
• URL: https://github.com/alich03/shoplifting-detection-using-yolov8
• Owner: alich03
• Created: 2023-08-08T07:09:37.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-28T11:28:22.000Z (over 1 year ago)
• Last Synced: 2024-11-25T23:15:27.448Z (2 months ago)
• Topics: django, shoplifting, shoplifting-prevention, yolo
• Language: Python
• Homepage:
• Size: 46.1 MB
• Stars: 17
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
![compute_vision,image_processing_and_open_cv 1](https://github.com/alich03/Shoplifting-Detection-using-yolov8/assets/104387113/348769f2-9367-4416-8a16-c7a6098040d8)

# Shoplifting-Detection-using-yolov8

Shoplifting Detection in Computer Vision using YOLOv8 Model 🛡️💡 Innovative Research & Development

Discover the cutting-edge world of Computer Vision and AI in the realm of shoplifting detection! 🚀 Our groundbreaking solution harnesses the power of the advanced YOLOv8 model to enhance security and prevent theft in retail environments.

🔍 By integrating sophisticated image processing and deep learning techniques, our system accurately identifies and flags potential shoplifting incidents, ensuring a safer shopping experience for customers and protecting merchandise.

📈 Stay ahead in the field of Computer Vision & AI with Visobyte! Explore valuable insights and resources on the latest advancements at 👉 https://github.com/alich03/Shoplifting-Detection-using-yolov8

💡 Leveraging visual cues such as shapes, movements, and patterns, our YOLOv8 model distinguishes between regular shopper behaviors and suspicious actions, allowing store management to take immediate action.

💼 Our shoplifting detection solution empowers retailers with real-time alerts and actionable analytics, enabling them to minimize losses and improve loss prevention measures.

🏢 Join us on this thrilling journey of Research & Development, where we pioneer the use of cutting-edge technology for a more secure shopping environment.

SAMPLE OUTPUT:

![compute_vision,image_processing_and_open_cv 1](https://github.com/alich03/Shoplifting-Detection-using-yolov8/assets/104387113/fdc3c5e6-30c2-4a55-818b-0162f92058e9)

#ComputerVision #AIInnovations #ShopliftingDetection #YOLOv8Model #LossPrevention #RetailSecurity #InnovationInAI #ResearchAndDevelopment