Image-Based Preventive Maintenance System Using AI
Developed an AI-driven image analysis system for preventive maintenance. The solution detects early signs of equipment wear or degradation through image recognition and maps the issue to specific locations using geotagged data. This enables timely intervention and optimized maintenance scheduling, reducing unexpected downtime.
Technologies Used
- Pythoncore programming language for AI model development and system integration.
- OpenCVfor real-time image processing and object segmentation.
- TensorFlowfor training and deploying deep learning-based object detection models.
- YOLO / SSD Modelspre-trained or custom-trained models for fast and accurate object detection.
- Raspberry Pi / NVIDIA Jetson / Cloud VMfor edge or cloud-based deployment depending on performance needs.
