AI/MLLive
Computer Vision Analytics
Real-time object detection and analytics system for retail and security applications
2024
Project Overview
A comprehensive computer vision system providing real-time object detection, people counting, and behavioral analytics for retail stores and security applications.
Technologies Used
OpenCV
Computer vision processing
YOLO
Real-time object detection
Python
Backend processing and APIs
FastAPI
High-performance API framework
MongoDB
Analytics data storage
React
Analytics dashboard
Key Features
Real-time object detection and tracking
People counting and crowd analytics
Behavioral pattern recognition
Heat map generation for foot traffic
Alert system for security events
Comprehensive analytics dashboard
Development Process
1
Model Training
Trained custom YOLO models for specific use cases
2
Real-time Processing
Optimized for real-time video stream processing
3
Analytics Engine
Built analytics and reporting system
4
Dashboard Development
Created real-time monitoring dashboard
5
Deployment
Deployed to edge devices and cloud infrastructure
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