Infrared (IR) Thermography is a non-destructive testing method widely used in industrial applications for identifying surface and sub-surface defects. This project leverages IR Thermography for real-time defect detection in materials and components, enhancing maintenance and quality control processes.
This mini project was developed to demonstrate how thermal imaging can be effectively used to detect structural faults or anomalies. The system processes thermal data captured from IR cameras to identify hotspots, discontinuities, and hidden defects that may not be visible through regular inspection.
- IR Thermography
- Data Analysis & Processing
- Visual Inspection Techniques
- Machine Learning (if applicable)
- ✅ Captured thermal signatures of materials using IR imaging.
- ✅ Processed and analyzed thermal data to identify defect patterns.
- ✅ Demonstrated accurate and efficient detection of faults for industrial use.
- ✅ Designed the system to support real-time inspection environments.
A detailed project report is attached in the repository. It includes:
- Project Objectives
- Methodology
- IR Thermography Concepts
- Experimental Results
- Conclusions and Future Scope
- Integration with IoT for remote monitoring.
- Automating analysis using deep learning techniques.
- Applying it to various industries like aerospace, electronics, and infrastructure.
👨💻 Developed as a part of academic mini project to explore practical applications of infrared thermography in defect detection.