Product introduction

License plate recognition manufacturer -17years of technological accumulation - License plate recognition SDK development package
SOFTWELL SDK is a software development package designed specifically for customers engaged in license plate recognition software product development. Using internationally leading computer vision and image processing algorithms, combined with internationally l...

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License plate recognition manufacturer -17years of technological accumulation - License plate recognition SDK development package

Product Details

SOFTWELL SDK is a software development package designed specifically for customers engaged in license plate recognition software product development. Using internationally leading computer vision and image processing algorithms, combined with internationally leading neural network algorithms, Sowell license plate recognition software provides license plate recognition functionality in a modular manner.

SOFTWELL SDK is a software development package designed specifically for customers engaged in license plate recognition software product development. Using internationally leading computer vision and image processing algorithms, combined with internationally leading neural network algorithms, Sowell license plate recognition software provides license plate recognition functionality in a modular manner. With high-speed recognition speed and reliable recognition accuracy, it can reduce the development costs of various developers and improve their competitiveness. Suitable for application development in urban traffic management, speeding monitoring, highway billing, parking lot management, stolen vehicle detection, and more.




Module of license plate recognition SDK:


License plate detection: detects the presence of license plates in input photos or videos.


License plate recognition: performs character segmentation and recognition on detected license plates, and outputs recognition results.


Image processing: Repair and rotate the detected license plate image to improve recognition accuracy.


Development examples: Examples developed using DLL or OCX in Visual C++, Dephi, VisualBasic, BCB language environments.




Development platform system requirements:


CPU: Pentium IV 2.8 or above, with 1GB or more of memory.


Windows 2000, XP, 2003 operating systems.


Visual C++, Dephi, Visual Basic, BCB, and other development tools that are compatible with application DLLs or OCX.




Operating environment system requirements:


CPU: Pentium IV 2.0 or above, RAM 512M or above.


Windows 2000, XP, 2003 operating systems, etc.


DirectX 9.0.




Technical specifications:


◆ Recognition time<0.05 seconds


◆ Monitoring distance 1-50 meters (specific visual imaging equipment performance)


◆ Visible light imaging mode, supporting auxiliary light sources such as LED and flash, all weather 7 × 24-hour continuous operation


◆ License plate detection accuracy>95%


◆ Chinese character recognition accuracy>99%, character recognition accuracy>97%, and full license plate recognition accuracy>95%


◆ Support various license plate recognition: civilian license plate (Type 92), civilian truck tail plate (double row), civilian license plate (2002 personalized), police license plate, armed police license plate, military license plate (Type 2004)


◆ Under visible light imaging conditions, the recognition accuracy of license plate colors (blue, yellow, black, white) is>98%


◆ Able to recognize license plates of vehicles traveling at speeds up to 200km/h and at high speeds


◆ Support video automatic triggering and physical triggering for vehicle detection


◆ Video capture devices that support interfaces such as PCI, USB2.0, IEEE1394, etc


◆ Output vehicle photos, license plate photos, recognition results, license plate colors, and binary images




Note: The beta version of the website's license plate recognition software is only for standard definition image recognition. For high-definition image recognition and video stream recognition, please contact the company's marketing and sales personnel.



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