AI-based defect detection that uses computer vision to automatically identify and classify product defects on manufacturing lines — reducing manual inspection time and catching defects the human eye misses.
View on GitHubAutomatically detects defects from product images.
Categorizes defects by type and severity.
Designed for production-line quality control.
Built for inline inspection workflows.
| Industry | Example Defects Detected |
|---|---|
| Automotive | Scratches, dents, paint defects |
| Electronics | Solder defects, component misalignment |
| Textiles | Weaving flaws, stains |
| Packaging | Print defects, seal failures |
📌 This repository currently hosts the project documentation and planning materials. Full implementation coming soon — watch this space!