Alijanloo/Retail-Shelf-Monitoring
A real-time Retail Shelf Monitoring System using computer vision and machine learning. Detects out-of-stock products, misplaced items, and ensures planogram compliance through intelligent video analytics and a desktop management interface.
This system helps retail store managers and operations staff keep shelves stocked and organized by automatically monitoring real-time video feeds from existing CCTV cameras. It takes in live video footage and alerts staff through a desktop application when products are out of stock or misplaced. This allows for faster restocking and better planogram compliance.
Use this if you manage a retail store and need an automated way to monitor product availability and placement on shelves to improve efficiency and sales.
Not ideal if you primarily need to analyze customer foot traffic patterns or detailed sales analytics, as this tool focuses specifically on shelf inventory and organization.
Stars
7
Forks
—
Language
Python
License
MIT
Category
Last pushed
Nov 06, 2025
Commits (30d)
0
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