Carmen OCR RailCode Description
The software library Carmen®, OCR RailCode automates the recognition and extraction of railway vehicle identification codes, including UIC, BRA RUS AAR, and North American chassis numbers. It can achieve up to 99.7% accuracy and ensure reliable data extraction on diverse rail networks. The software can process images from different sources, taking into account camera positions and lighting conditions. Carmen®, OCR RailCode, is compatible with Windows and Linux systems. It integrates seamlessly through a user friendly API and supports programming languages like C, C++ C# Java and Visual Basic. This makes it a valuable tool for automated code-reading, inventory management and logistics operations in the railway industry.
Carmen OCR RailCode Alternatives
Carmen OCR FleetCode
Carmen® OCR FleetCode, a software library, automates the recognition of USDOT numbers displayed on commercial vehicles. It enhances fleet management systems, regulatory compliance and traffic monitoring by accurately extracting these identifiers. The software captures data from both still images and video feeds. This is regardless of the camera quality or lighting condition. Carmen® OCR FleetCode is compatible with Windows and Linux, and integrates seamlessly through a user friendly API. It supports multiple programming languages, including C, C++ C# Java and Visual Basic. This makes it a valuable tool for applications that require precise vehicle tracking and identification.
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Yandex Vision
Yandex Vision OCR recognizes the text in an image, and outputs that text along with automatic punctuation. The service automatically identifies and supports more than 50 different languages. Extract standard fields and recognize the text in templates and other documents, such as passports, drivers' licenses, vehicle registration certificate, and license plates. Supports Russian and English as well as combinations handwritten and printed text. The service scans table structure and outputs the text in row and columns coordinates. OCR, document recognition and license plate number identification. Yandex Vision OCR supports JPEG, PNG and PDF formats. File sizes must not exceed 20 MB and contain no more than 300 sheets per file. The service can scan images to find passports from up to 20 countries, as well as driver's licences, vehicle registration documents and license plates.
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Docsumo
Intelligent OCR technology and Document AI software allow you to convert unstructured documents like bank statements, pay slips, and invoices into actionable data. It can work with any document format. In just a few clicks, extract totals, invoice numbers and payment terms from multiple invoices. To automate decisions, categorize table line items. Validate data captured with an external API or database and review the data. Your data is protected with enterprise-grade security. Docsumo gives you complete control over the data that is processed through Docsumo.
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PrecisionOCR
PrecisionOCR is an easy-to-use, secure and HIPAA-compliant cloud-based optical character recognition (OCR) platform that organizations and providers can user to extract medical meaning from unstructured health care documents.
Our OCR tooling leverages machine learning (ML) and natural language processing (NLP) to power semi-automatic and automated transformations of source material, such as pdfs and images, into structured data records. These records integrate seamlessly with EMR data using the HL7s FHIR standards to make the data searchable and centralized alongside other patient health information.
Our health OCR technology can be accessed directly in a simple web-UI or the tooling can be used via integrations with API and CLI support on our open healthcare platform.
We partner directly with PrecisionOCR customers to build and maintain custom OCR report extractors, which intelligently look for the most critical health data points in your health documents to cut through the noise that comes with pages of health information.
PrecisionOCR is also the only self-service capable health OCR tool, allowing teams to easily test the technology for their task workflows.
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Company Details
Company:
Adaptive Recognition
Year Founded:
1991
Headquarters:
Hungary
Website:
adaptiverecognition.com
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