| Model Type | Face Detection and Recognition using Edge Impulse |
|---|---|
| Framework | Edge Impulse, AI Edge LiteRT |
| Algorithm | FOMO Face Detector + Custom Embedding |
| Technical Details | Combines a FOMO-based face detector with a custom face-embedding stage to localize faces and support identity matching directly on edge devices. |
Face ID + EdgeImpulse
Detects faces and performs face recognition using a lightweight Edge Impulse pipeline designed for edge devices.
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$0.00
Face ID + EdgeImpulse
app details
Resources
Use Cases
Surveillance
Performance Benchmark
Hardware · Backend
Processing unit
Latency (ms)
Avg. Peak RAM
NXP i.MX 8M Plus · EdgeImpulse + AiEdgeLiteRT
CPU
332.7 ms
199 MB
MediaTek Genio 510 · EdgeImpulse + AiEdgeLiteRT
CPU
66.5 ms
180.4 MB
Qualcomm QCS6490 · EdgeImpulse + AiEdgeLiteRT
CPU
62.6 ms
187.1 MB
Intel Tiger Lake · EdgeImpulse + AiEdgeLiteRT
CPU
10 ms
179.9 MB
People Counter
Real-time people detection and counting for industrial and monitoring applications.
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