Carmen® Cloud

Carmen® Cloud is a specialized vehicle recognition platform that uses artificial intelligence to identify license plates and vehicles from images and video streams. The system processes visual data to extract license plate numbers, vehicle makes and models, and other identification details, making it useful for security, parking management, and traffic monitoring applications. It works with various input sources including static images and live video feeds.

The platform stands out with its global coverage, supporting license plate formats from over 200 countries and regions. It uses machine learning algorithms that have been developed over 30 years, allowing it to handle challenging conditions like blurry images, low-resolution footage, fast-moving vehicles, and poor lighting. The system can recognize plates at odd angles, in low-light environments, and even plates with additional icons or dual-row layouts. All recognition features—ANPR (Automatic Number Plate Recognition), MMR (Make and Model Recognition), and ADR (Automatic Document Recognition)—are accessible through a single API call.

Carmen® Cloud is particularly valuable for organizations that need reliable vehicle identification without investing in expensive hardware. Security companies can use it for access control and surveillance, parking facilities can automate entry and payment systems, and traffic management agencies can monitor vehicle flow and enforce regulations. The cloud-based approach means users can scale their operations easily and access the system from anywhere with an internet connection, making it a practical solution for both small operations and large-scale deployments.