| Model Type | Facial Attribute Detection |
|---|---|
| Framework | AI Edge LiteRT, OpenVINO |
| Algorithm | Qualcomm® Facial Attribute Detection |
| Technical Details | Uses a Qualcomm-developed facial analysis model to detect eye closure, mask presence, eyeglasses, and sunglasses from face images. The model was trained by Qualcomm on a proprietary facial dataset and can process general image inputs. |
Facial Attribute Detection
Detects visible facial attributes such as eye closure, mask presence, eyeglasses, and sunglasses on edge devices.
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Facial Attribute Detection
app details
Resources
Use Cases
Facial Recognition
Performance Benchmark
Hardware · Backend
Processing unit
Latency (ms)
Avg. Peak RAM
NXP i.MX 8M Plus · AiEdgeLiteRT
NPU
2214.9 ms
76.2 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
GPU
2214.9 ms
76.1 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
CPU
627.2 ms
76.2 MB
Intel Tiger Lake · OpenVINO
GPU
6.5 ms
617.1 MB
Intel Tiger Lake · OpenVINO
CPU
14.1 ms
673.1 MB
Intel Tiger Lake · AiEdgeLiteRT
CPU
48.5 ms
190.7 MB
Qualcomm QCS6490 · AiEdgeLiteRT
NPU
177.2 ms
80.4 MB
Qualcomm QCS6490 · AiEdgeLiteRT
CPU
176.1 ms
78.4 MB
MediaTek Genio 510 · AiEdgeLiteRT
CPU
151.4 ms
76 MB
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