| Model Type | Text Detection & Recognition |
|---|---|
| Framework | AI Edge LiteRT, OpenVINO |
| Algorithm | CRAFT + CRNN |
| Technical Details | Uses a CRAFT text detector with a CRNN recognition stage to localize and transcribe text from real-world images on edge devices. |
Scene Text Detection – High Accuracy
Detects and recognizes text in complex real-world images using a high-accuracy OCR pipeline for edge applications.
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Scene Text Detection – High Accuracy
app details
Resources
Use Cases
Quality Control
Performance Benchmark
Hardware · Backend
Processing unit
Latency (ms)
Avg. Peak RAM
NXP i.MX 8M Plus · AiEdgeLiteRT
CPU
52831.1 ms
76.2 MB
Intel Tiger Lake · OpenVINO
GPU
332.2 ms
978.7 MB
Intel Tiger Lake · OpenVINO
CPU
892.9 ms
1135 MB
Intel Tiger Lake · AiEdgeLiteRT
CPU
5285.5 ms
83.4 MB
Qualcomm QCS6490 · AiEdgeLiteRT
CPU
15705 ms
79.5 MB
MediaTek Genio 510 · AiEdgeLiteRT
CPU
14876.2 ms
77.4 MB
Scene Text Detection – Light Model
Detects and recognizes text in images using a lightweight OCR pipeline optimized for edge devices.
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Object Detection – YOLOX
Detects and locates multiple object categories in images and video streams using the lightweight YOLOX architecture.
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Image Classification
Real-time image classification for recognizing visual categories on edge devices.
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