| Model Type | Vision AI Model |
|---|---|
| Framework | LiteRT (TensorFlow Lite), PyTorch |
| Algorithm | Defect Detection, Object Classification |
| Technical Details | This solution analyzes high-resolution PCB images and identify common manufacturing defects such as broken traces, missing components, or soldering errors. Built for edge deployment in industrial environments, it supports real-time inspection |
PCB Defect Detection
Specialized AI-based vision system for detecting surface and structural defects on printed circuit boards (PCBs) during manufacturing inspection.
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$0.00
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
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