PrecisionOCR
PrecisionOCR is a ready-to-use, secure, HIPAA-compliant, cloud-based platform for extracting medical meaning from unstructured documents using Optical Character Recognition (OCR).
PrecisionOCR uses custom Optical Character Recognition and AI algorithms to convert PDFs/JPEGs/PNGs into structured, searchable documents. Organizations can work with our team to build OCR report extractors which look for specific types of information to extract or highlight to reduce the noise that comes from extracting all of the data within a document.
Natural language processing (NLP) and machine learning (ML) power the semi-automated and automated transformation of source material such as pdfs or images into structured data records that integrate seamlessly with EMR data using HL7s FHIR standards. Data can be automatically stored along side patient records.
Our OCR document classification is also available along with multiple ways to integrate including API and CLI support.
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Carmen Cloud
Carmen® Cloud is a cloud-based Automatic Number Plate Recognition (ANPR) solution that leverages advanced machine learning algorithms to deliver high-accuracy license plate, vehicle make, model, and color recognition across over 200 countries. Its dynamic algorithms continually adapt, ensuring reliable identification in challenging conditions.
Designed for seamless integration, it offers a single API call to access ANPR, Make and Model Recognition (MMR), and Hazard Identification Number Recognition (ADR), simplifying deployment across various applications such as traffic monitoring, parking management, and security operations. Carmen® Cloud's scalable infrastructure accommodates fluctuating demands, providing instant insights without delays or bottlenecks.
Its global reach and deployment flexibility make it versatile for organizations seeking efficient and precise vehicle recognition capabilities.
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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
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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