| Model Type | Object Detection |
|---|---|
| Framework | AI Edge LiteRT, OpenVINO |
| Algorithm | YOLOX |
| Technical Details | Uses YOLOX to detect and localize objects in visual inputs, supporting edge inference across CPU, GPU, and NPU configurations. |
Object Detection – YOLOX
Detects and locates multiple object categories in images and video streams using the lightweight YOLOX architecture.
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Object Detection – YOLOX
app details
Resources
Use Cases
Quality Control
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
Intel Tiger Lake · OpenVINO
GPU
30.2 ms
999.6 MB
Intel Tiger Lake · OpenVINO
CPU
40.6 ms
1047.2 MB
Intel Tiger Lake · AiEdgeLiteRT
CPU
68.4 ms
85.3 MB
MediaTek Genio 510 · AiEdgeLiteRT
CPU
254.2 ms
83 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
NPU
136.2 ms
76.1 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
GPU
136.1 ms
78.1 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
CPU
2998.9 ms
82.8 MB
Qualcomm QCS6490 · AiEdgeLiteRT
CPU
276.7 ms
89.1 MB
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