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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
AI-Based Mechanical Anomaly Detector (Camera)
About this project
This object detection (FOMO) model detects specialized components (color-coded) representing defective parts causing mechanical deviations in a production line:
- Red
- Green
- Blue
After building my object detection model, I deployed my model as a fully optimized and customizable Arduino library and uploaded it to FireBeetle 2 ESP32-S3. Also, I developed a web application from scratch to inform the user of the diagnosed root cause of the inflicted anomaly via SMS through Twilio.
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Dataset summary
Data collected
45 itemsLabels
blue, green, redProject info
Project ID | 338236 |
Project version | 1 |
License | Apache 2.0 |
No. of views | 6,140 |
No. of clones | 0 |