A new press release reports, “Quest Solution, Inc., a provider of Supply Chain and Artificial Intelligence (AI)-based Machine Vision solutions, has announced that it has enhanced the features of its AI-based ‘Visual Cortex’ ™ algorithm, adding car color and make machine recognition to its existing license plate recognition solution. HTS Image Processing, a fully owned subsidiary of Quest, is recognized as a leading provider of highly accurate Vehicle Recognition Solutions (VRS) to detect and read vehicle license plates and vehicle speed, as well as this new breakthrough ability to identify car color and make via machine recognition. These capabilities provide robust solutions for parking, access control, traffic surveillance, law enforcement, tolling and security applications. In the U.S. the Company recently won projects for traffic management and parking automation at JFK, La Guardia, Newark, Dallas Fort Worth, Miami, Dulles, Salt Lake City and several other international airports, as well as being selected for Safe City projects in Florida. License Plate Recognition in the U.S. is complicated because each car owner may select their own license plate number (LPN), and the same LPN can exist in different states.”
Shai Lustgarten, CEO of Quest, commented, “Our ability to now provide automatic machine vision recognition of car color and make is the result of an intensive effort from our scientific team. These features are high priorities for law enforcement and homeland security authorities as well as for parking operators and insurance companies… The need for vehicle recognition solutions that identify not just LPNs but also car color and make, is clear and critical, as license plate numbers can be changed before or after committing a crime. With these new features, any changes can be flagged immediately, making identification efforts more efficient, sometimes saving lives. Our first installation will be deployed in a very sensitive area as part of a major anti-terrorism effort.”
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