| Model Type | Face Detection & Recognition |
|---|---|
| Framework | LiteRT (TensorFlow Lite) , OpenCV, PyTorch |
| Algorithm | FaceNet, YOLOv3Face |
| Technical Details | Enables facial authentication on HMI systems for secure, user-specific interaction. Supports optional voice commands and dynamic content. Optimized for real-time inference on edge devices with low-power AI accelerators. |
Face Recognition for Industrial HMI
Secure face recognition HMI system for personalized user access in industrial environments.
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Face Recognition for Industrial HMI
app details
Resources
Use Cases
Industrial Safety
Industrial 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
36.88 ms
1.06 MB
CPU
SECO SOM-SMARC-QCS6490
4.28 ms
1.06 MB
NPU
SECO SOM SMARC iMX8Plus
442.27 ms
1.06 MB
CPU
SECO SOM SMARC iMX8Plus
36.32 ms
1.06 MB
NPU
SECO SOM-SMARC-MX95
97.24 ms
1.06 MB
CPU
SECO Titan 300 TGL-UP3
11.2 ms
1.06 MB
CPU
SECO Titan 300 TGL-UP3
9.23 ms
1.06 MB
CPU
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