| Model Type | PCB Defect Detection |
|---|---|
| Framework | AI Edge LiteRT, OpenVINO |
| Algorithm | Defect Detection, Object Classification |
| Technical Details | Analyzes PCB images to identify manufacturing defects such as damaged traces, missing elements, and other visible anomalies during automated quality inspection. |
PCB Defect Detection
Detects manufacturing defects in PCB images for automated visual quality inspection on edge devices.
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PCB Defect Detection
app details
Resources
Use Cases
Quality Control
Performance Benchmark
Hardware
Latency (ms)
Memory Usage
Processing unit
SECO SOM-SMARC-QCS6490
46.96 ms
2.06 MB
CPU
SECO SOM-SMARC-QCS6490
4.05 ms
2.06 MB
NPU
Automated Quality Inspection with Vision AI
Real-time AI-powered vision system for detecting defects in manufacturing environments
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Image Classification
Real-time image classification for recognizing visual categories on edge devices.
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Object Detection – YOLOX
Detects and locates multiple object categories in images and video streams using the lightweight YOLOX architecture.
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