| Model Type | Face Detection |
|---|---|
| Framework | AI Edge LiteRT, OpenVINO |
| Algorithm | YOLOv3Face + FaceNet |
| Technical Details | Detects faces and extracts facial features to validate facial content for HMI applications. No identity matching or user identification is performed.. Supports optional voice commands and dynamic content. Optimized for real-time inference on edge devices with low-power AI accelerators. |
Face Detection for Industrial HMI
by
NXP
Real-time face detection for industrial HMI applications.
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Face Detection 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 · Backend
Processing unit
Latency (ms)
Avg. Peak RAM
Qualcomm QCS6490 · AiEdgeLiteRT
NPU
3.5 ms
326.4 MB
Qualcomm QCS6490 · AiEdgeLiteRT
CPU
45.6 ms
220.9 MB
Intel Tiger Lake · OpenVINO
GPU
18.7 ms
1668.7 MB
Intel Tiger Lake · OpenVINO
CPU
5.8 ms
1591.5 MB
Intel Tiger Lake · AiEdgeLiteRT
CPU
8.9 ms
176.2 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
NPU
12.3 ms
178.5 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
GPU
12.3 ms
170.5 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
CPU
321.1 ms
171.8 MB
MediaTek Genio 510 · AiEdgeLiteRT
CPU
44.6 ms
220.4 MB
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