| Model Type | Object Detection & People Counting |
|---|---|
| Framework | LiteRT (TensorFlow Lite) |
| Algorithm | YOLOX |
| Technical Details | This unit detects people from single RGB frames and provides a live count along with average detection confidence. Designed to run on TFLite-compatible edge processors. |
People Counter
Lightweight real-time people counting model based on quantized YOLOX, optimized for edge devices using LiteRT (TensorFlow Lite) .
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People Counter
app details
Resources
Use Cases
Industrial Safety
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
105.11 ms
21.9 MB
CPU
SECO SOM-SMARC-QCS6490
8.31 ms
21.9 MB
NPU
SECO SOM SMARC iMX8Plus
1538 ms
21.9 MB
CPU
SECO SOM SMARC iMX8Plus
207.12 ms
21.9 MB
NPU
SECO SOM-SMARC-iMX95
411.48 ms
21.9 MB
CPU
SECO Titan 300 TGL-UP3
49.91 ms
21.9 MB
CPU
SECO Titan 300 TGL-UP3
37.44 ms
21.9 MB
CPU
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