Overview
Model Name: text-ocr-recognizer
Text OCR is used to detect and recognize text within a given image. It is capable of handling use cases involving printed text in various sizes and non-stylized fonts, as well as dot peen fonts and handwriting.
Requirements
Operating System: Android 14 or higher. For specific OS versions, refer to AI Data Capture SDK Release Notes from the Zebra support portal.
Minimum SDK Version: AI Data Capture SDK v3.0.2 or later.
Supported Zebra Devices:
Features Platform Device Model Products with DSP
Fastest and most battery efficientQC6490 TC53, TC58, TC73, TC78, ET60, ET65 QC5430 EM45 Products without DSP
Applies to still imagesQC4490 TC53e, TC58e, MC9400, MC9450 For more information on devices based on platform, see Zebra Platform Devices.
Performance Details
Model | Model Dimensions | Typical Load Time (ms) | Typical Inference Time (ms) | Typical Maximum Read Distance (cm) 8pt font (Times New Roman) |
Typical Maximum Read Distance (cm) 12pt font (Times New Roman) |
Typical Maximum Read Distance (cm) 36pt font (Times New Roman) |
---|---|---|---|---|---|---|
text-ocr-recognizer | 640x640 | 1580 | 110 | No Read | 20 | 55 |
text-ocr-recognizer | 1280x1280 | 1780 | 180 | 25 | 40 | 130 |
text-ocr-recognizer | 1600x1600 | 1740 | 270 | 35 | 40 | 145 |
text-ocr-recognizer | 2560x2560 | 1840 | 480 | 50 | 65 | 165 |
Measurements Notes:
- All measurements are estimations.
- Measurements were conducted using the Zebra TC53 device equipped with the Qualcomm 6490 chipset operating on the DSP AI accelerator.
- Images were 4MP Resolution under 300 Lux lighting conditions.
- Read distance met at least 90% Recall.