| Model Type | Face Detection and Recognition using Edge Impulse |
|---|---|
| Framework | LiteRT (TensorFlow Lite) |
| Algorithm | FOMO Face Detector + Custom Embedding |
| Technical Details | This application integrates a FOMO-based face detection model trained and exported via Edge Impulse. The system applies real-time face localization and recognition using lightweight inference pipelines, following SECO's modular AI APP architecture. Ideal for fast HMI access and presence detection on constrained hardware. |
Face ID + EdgeImpulse
A lightweight face recognition solution leveraging Edge Impulse’s FOMO model, designed for fast, accurate deployment on edge devices in industrial environments.
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$0.00
Face ID + EdgeImpulse
app details
Resources
Use Cases
Surveillance
Performance Benchmark
Hardware
Latency (ms)
Memory Usage
Processing unit
SECO SOM-SMARC-QCS6490
5.13 ms
2.25 MB
CPU
SECO SOM-SMARC-QCS6490
0.88 ms
2.25 MB
NPU
People Counter
Lightweight real-time people counting model based on quantized YOLOX, optimized for edge devices using LiteRT (TensorFlow Lite) .
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