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AI-powered retail analytics system using computer vision for customer behavior analysis
Build an intelligent retail analytics platform that uses computer vision to understand customer behavior, optimize store layouts, and reduce theft. Tracks dwell time, heat maps, demographic analysis, and product interactions. Includes inventory monitoring, queue management, and personalized promotions through digital signage integration.
People counting
Dwell time tracking
Heat map generation
Demographic analysis
Product interaction
Queue monitoring
Inventory tracking
Theft detection
Digital signage
ROI analytics
Standard architecture
Computer Vision
Object Detection
Object Tracking
Data Analytics
Python & PyTorch
Streaming data
Master multi-object tracking
Build real-time analytics
Process video streams
Design retail KPIs
Create interactive dashboards
Optimize performance
Camera system architecture
YOLOv8 training
DeepSORT implementation
Video processing pipeline
Behavior analysis
Shelf monitoring
Dashboard development
Store traffic visualization
Digital signage API
Performance tuning