| Model Type | Semantic Segmentation |
|---|---|
| Framework | AI Edge LiteRT, OpenVINO |
| Algorithm | FFNet-40S |
| Technical Details | FFNet-40S is a compact convolutional neural network designed for pixel-wise semantic segmentation of high-resolution images. It combines a ResNet-style encoder with a multi-branch decoder, enabling efficient processing on devices with limited compute resources. Ideal for smart city and autonomous driving scenarios. |
Semantic Segmentation
Real-time semantic segmentation for understanding roads, vehicles, pedestrians, and other elements in visual scenes.
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Semantic Segmentation
app details
Resources
Use Cases
Quality Control
Supported SECO Devices
AI optimized hardware
Fanless embedded PCs
Modules
supported chipsets
Intel® Core™ i3
Qualcomm® Dragonwing QCS6490
Qualcomm® Dragonwing QCS5430
NXP i.MX 8M Plus
NXP i.MX 95
Performance Benchmark
Hardware
Latency (ms)
Memory Usage
Processing unit
SECO SOM-SMARC-QCS6490
1318 ms
12.38 MB
CPU
SECO SOM-SMARC-QCS6490
58 ms
12.38 MB
NPU
SECO SOM SMARC iMX8Plus
767 ms
12.38 MB
CPU
SECO SOM SMARC iMX8Plus
85.85 ms
12.38 MB
NPU
SECO SOM-SMARC-MX95
3564 ms
12.38 MB
CPU
SECO Titan 300 TGL-UP3
365.21 ms
12.38 MB
CPU
SECO Titan 300 TGL-UP3
164.76 ms
12.38 MB
CPU
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