Eulerian Video Motion Mag
Year
2025
Role
Computer Vision & AI Developer
Tech Stack
7 tools
Client
Final Year Project
Developed an AI-assisted predictive maintenance system focused on detecting subtle abnormal motor movements using Eulerian Video Magnification and computer vision techniques. The project processed real-time video streams to amplify invisible motion patterns in AC induction motors and explored machine learning-based analysis for fault detection and operational monitoring.
✨ Key Features
- • Eulerian video motion amplification
- • Real-time video processing
- • Abnormal motion detection
- • Machine learning-based analysis
- • Predictive maintenance workflow
- • Signal amplification and visualization
🧩 Challenges & Solutions
Challenge
Processing subtle motion variations accurately while maintaining stable real-time video amplification and analysis.
Solution
Implemented Eulerian Video Magnification techniques combined with computer vision preprocessing and machine learning workflows.
📈 Successfully demonstrated amplified motion visualization for predictive maintenance and anomaly detection research.