Adaptive Recognition
Slogan: Precision-engineered, durable and high-performance image capturing and analytics components
Description: Adaptive Recognition (formerly ARH) is a research and development-oriented company that focuses on optical character recognition technology (OCR). The company's mission is to deploy artificial intelligence in traffic enforcement, optimization, and identity verification to contribute to a safer and more sustainable world.
Product: The company's best-known product is Carmen®, a globally recognized, market-leading automatic license plate recognition (ALPR/ANPR) software. Additionally, Adaptive Recognition designs and manufactures ANPR/ALPR cameras and IoT devices specially made for access control, traffic monitoring, and speed and traffic enforcement. The company also offers innovative ID document readers, passport scanner devices, and related optical character recognition software for the identity verification market.
Clients: The company's clients are system integrators developing intelligent traffic monitoring, security, logistics, and access control systems. Adaptive Recognition's technology can be found in various environments such as border control, hotels and casinos, retail facilities, parking lots, banks, highways, low emission zones (LEZ) in smart cities, police applications, and more.
Founded: 1991
Industries: Manufacturing, Privacy and Security
Adaptive Recognition presents a compelling opportunity for investment due to its established position in the OCR technology market, its diverse range of products serving various industries, and its mission-driven focus on contributing to a safer and more sustainable world through artificial intelligence deployment. The company's proven track record and wide array of solutions make it an attractive prospect for investors seeking exposure to the high-growth potential of AI-driven traffic enforcement, security, and logistics technologies.
There is no investment information
No recent news or press coverage available for Adaptive Recognition.