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Month: February 2019

PIPS Technology™ increases Vehicle Recognition Software offering with acquisition of Artificial Intelligence “Mantis” software platform

Mantis which is successfully deployed in a wide range of law enforcement and vehicle recognition scenarios, including for agencies such as Los Angeles Police Department, assists in detection and classification of vehicle characteristics to solve a variety of customer needs from many segments. SAN DIEGO, Feb. 22, 2019 – PIPS Technology™, a business division of Neology and a leading provider of Automatic Number/Number Plate Recognition (ANPR/ANPR) solutions, is pleased to announce that it has signed and closed an agreement to acquire the Mantis Software platform.  Mantis is used by a range of Mobility system providers and end-users to provide Artificial Intelligence based Vehicle Classification, using a range of camera systems, including PIPS Technology’s own IRIS Fixed Camera and Golden Eagle mobile platforms. PIPS Technology™ is a pioneer of detection innovation systems in more than 100 countries and this represents a significant investment and […]

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PIPS Technology™ announced as finalist in New York Transit Tech Lab Accelerator program

The program, of which only 6 finalists have been announced out of an application process of almost 100 companies shall enable MTA to embrace technology and build a culture of innovation by working with companies that are pioneers in mobility. SAN DIEGO, Feb. 25, 2019 – PIPS Technology™, a business division of Neology and a leading provider of Automatic Number/Number Plate Recognition (ANPR/ANPR) solutions, is pleased to announce that it has been successful in gaining a place on the Metropolitan Transportation Authority (MTA) sponsored accelerator program designed at introducing new technology which improves transit services. The challenge, accepted by PIPS’ engineers, is to work with the MTA team to customize products and solutions which are used to help public buses move faster and more efficiently in bus lanes through the use of enhanced image analytics to detect, identify and classify […]

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