This project is an AI-powered productivity monitoring system designed to automate operator tracking, workflow monitoring and quality control in manufacturing. Using pose detection (Mediapipe) and object detection (YOLOv5), the system enhances efficiency which reduces manual supervision and ensures real-time feedback for optimized operations.
🔹 Problem: Manual monitoring is inefficient, error-prone and lacks real-time insights.
🔹 Solution: AI-driven system for real-time tracking, automated quality checks and performance monitoring using a multi-camera setup.
✅ AI-Powered Pose & Object Detection
Real-time tracking of operators and product verification using YOLOv5 and Mediapipe.
✅ Real-Time Alerts & Feedback
Instant notifications for workflow issues and quality control alerts.
✅ Multi-Camera Setup
Integrates multiple cameras for complete production line monitoring.
✅ Automated Data Logging
Stores monitoring data automatically in cloud storage for analysis.
UTM EECS 2025 - Mechatronics Best Project Awards
🔗 Click here to watch the demo
🔹 IoT Integration for smart analytics
🔹 Cloud-based AI processing for scalability
🚀 Transforming Manufacturing with AI Automation!