AI Object Detector — Real-Time Detection and Counting System
AI Object Detector is a real-time computer vision tool designed to automatically detect and count physical objects using a live camera feed. Built for use in warehouses, retail environments, classrooms, and industrial operations, this tool reduces manual effort by identifying and quantifying objects instantly with high accuracy.
From managing inventory to automating classroom tasks like counting students or books, this system makes tracking fast, touch-free, and intelligent.
Key Features
Real-Time Detection & Counting
Uses AI models to detect and count multiple objects placed in front of the camera — all in real time with no manual input.
Multi-Class Recognition
Identifies different types of objects (e.g., bottles, boxes, tools, people) simultaneously.
Live Dashboard Display
Shows live count updates with object labels and bounding boxes on screen for easy monitoring.
Accuracy Insights
Delivers results with 70–80% accuracy depending on lighting and camera angle, and improves over time with training.
Report Generation
Exports daily or batch count reports in Excel or PDF format for auditing and management.
Technology Stack
frontend
- React.js (Web)
- Android (Mobile)
backend
- Python (Flask / FastAPI)
aiModels
- YOLOv5
- SSD for object detection
database
- MongoDB
- SQLite
hosting
- Local server
- AWS/GCP
security
- Role-based login
- Encrypted data sync