Identifying manufacturing defects such as cracks, scratches, missing components, or surface irregularities on production lines using on-device image classification or object detection. Models are trained on good vs defective part images and deployed on MCUs with camera interfaces. Enables real-time quality inspection at the point of manufacture without network dependency or cloud latency.
| Minimum RAM | 128 KB |
| Minimum Flash | 512 KB |
| Sensor Inputs | camera |
| Typical Model Size | 150 KB (quantized int8) |
| Minimum Clock | 80 MHz |
No hardware guides for visual defect detection yet. Use the MCU Checker to find compatible hardware.
ForestHub compiles visual AI workflows to C code for your microcontroller. Choose your hardware, build your visual defect detection pipeline, deploy in minutes.