| Model Type | Pose Estimation |
|---|---|
| Framework | AI Edge LiteRT, OpenVINO |
| Algorithm | PoseNet MobileNet |
| Technical Details | Estimates human body keypoints and poses for single or multiple people, supporting real-time monitoring and vision-based applications. |
PoseNet for Multi-Person Pose Detection
Lightweight and quantized PoseNet model for real-time multi-person pose estimation on edge hardware.
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PoseNet for Multi-Person Pose Detection
app details
Resources
Use Cases
Industrial Safety
Surveillance
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
208.57 ms
78.91 MB
CPU
SECO SOM-SMARC-QCS6490
13.85 ms
78.91 MB
NPU
SECO SOM SMARC iMX8Plus
1646 ms
78.85 MB
CPU
SECO SOM SMARC iMX8Plus
1204 ms
77 MB
NPU
SECO SOM-SMARC-MX95
754.16 ms
76.46 MB
CPU
SECO Titan 300 TGL-UP3 AI
78.02 ms
78.29 MB
CPU
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