| Model Type | Semantic Segmentation |
|---|---|
| Framework | AI Edge LiteRT, OpenVINO |
| Algorithm | FFNet |
| Technical Details | Uses FFNet semantic segmentation to separate foreground regions from image backgrounds for industrial image processing and automated visual inspection. |
Background Removal for Industrial Vision
Segments foreground objects from image backgrounds to support automated industrial vision and inspection workflows.
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Background Removal for Industrial Vision
app details
Resources
Use Cases
Image Processing
Performance Benchmark
Hardware · Backend
Processing unit
Latency (ms)
Avg. Peak RAM
NXP i.MX 8M Plus · AiEdgeLiteRT
NPU
31172.4 ms
76.1 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
GPU
31171.4 ms
76.1 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
CPU
7916.9 ms
76.1 MB
Intel Tiger Lake · OpenVINO
GPU
54.1 ms
529.3 MB
Intel Tiger Lake · OpenVINO
CPU
175.5 ms
566.7 MB
Intel Tiger Lake · AiEdgeLiteRT
CPU
611.8 ms
84.2 MB
Qualcomm QCS6490 · AiEdgeLiteRT
NPU
2323.3 ms
84.4 MB
Qualcomm QCS6490 · AiEdgeLiteRT
CPU
2238.6 ms
79.6 MB
MediaTek Genio 510 · AiEdgeLiteRT
CPU
2299.3 ms
76 MB
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