Audience
System integrator, OEM, logistics, railway, container
About Carmen OCR RailCode
Carmen® OCR RailCode is a software library that automates the recognition of railway vehicle identification numbers, including UIC, BRA, RUS, and AAR codes, as well as North American chassis numbers. It achieves up to 99.7% accuracy, ensuring reliable data extraction across diverse rail networks. The software processes images from various sources, accommodating different camera positions and lighting conditions. Compatible with Windows and Linux operating systems, Carmen® OCR RailCode integrates seamlessly into existing systems through a user-friendly API, supporting programming languages such as C, C++, C#, Java, and Visual Basic. This makes it an invaluable tool for automated code reading, inventory management, and logistics operations within the railway industry.
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Carmen® OCR ContainerCode is a software library that automates the recognition of container codes, achieving up to 99.7% accuracy. It supports ISO 6346 (BIC), MOCO, and ILU codes, facilitating efficient tracking across various transportation modes, including road, rail, and maritime. The software processes images from multiple sources, ensuring optimal OCR results regardless of camera position or lighting conditions. Compatible with Windows and Linux operating systems, Carmen® OCR ContainerCode integrates seamlessly into existing systems through a user-friendly API, supporting programming languages such as C, C++, C#, Java, and Visual Basic. This makes it an invaluable tool for logistics operations, enhancing container visibility and streamlining supply chain management.
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Adobe PDF Library SDK
Developers rely on Datalogics to provide the most comprehensive PDF SDKs in the industry. We are SOC 2 Type 2 certified.
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Free trial with proof of concept support, join us on Discord or use our AI assistant for help, or set up a time to talk to one of our engineers about your project.
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Integrations
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Company Information
Adaptive Recognition
Founded: 1991
Hungary
adaptiverecognition.com
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