| Model Type | Environmental Audio Classification |
|---|---|
| Framework | LiteRT (TensorFlow Lite) |
| Algorithm | Quantized MobileNet v1 (AudioSet-trained) |
| Technical Details | YAMNet is a MobileNet v1-based deep neural network trained on Google's AudioSet. It performs audio event classification from waveform inputs. Efficient for edge use cases requiring sound awareness. |
YAMNet for Environmental Sound Classification
Real-time environmental sound classifier optimized for low-power edge devices using MobileNet v1.
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YAMNet for Environmental Sound Classification
app details
Resources
Use Cases
Forecasting
Operational Optimization
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
538.48 ms
3.67 MB
CPU
SECO SOM-SMARC-QCS6490
123.95 ms
14.77 MB
CPU
SECO SOM SMARC iMX8Plus
1866 ms
3.67 MB
CPU
SECO SOM-SMARC-iMX95
1531 ms
3.67 MB
CPU
SECO Titan 300 TGL-UP3 AI
193.96 ms
3.67 MB
CPU
SECO SOM SMARC iMX8Plus
4623 ms
3.67 MB
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