| Model Type | People Detection & Counting |
|---|---|
| Framework | AI Edge LiteRT, OpenVINO |
| Algorithm | YOLOX Nano |
| Technical Details | Detects people in visual scenes and provides real-time counting information for monitoring and occupancy applications from single RGB frames |
People Counter
Real-time people detection and counting for industrial and monitoring applications.
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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 · Backend
Processing unit
Latency (ms)
Avg. Peak RAM
MediaTek Genio 510 · AiEdgeLiteRT
CPU
66.6 ms
76.4 MB
Intel Tiger Lake · OpenVINO
GPU
7.3 ms
524.5 MB
Intel Tiger Lake · OpenVINO
CPU
6.4 ms
483.5 MB
Intel Tiger Lake · AiEdgeLiteRT
CPU
18.6 ms
78.6 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
NPU
794.4 ms
80.1 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
GPU
794.5 ms
76.1 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
CPU
291.5 ms
76.1 MB
Qualcomm QCS6490 · AiEdgeLiteRT
NPU
69.9 ms
78.5 MB
Qualcomm QCS6490 · AiEdgeLiteRT
CPU
68 ms
80.4 MB
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