omniQ Launches SeeCube™; Safe City/ Safe District Vehicle Make and Color Recognition Solution Utilizing AI and Advanced Image Processing Algorithm
- Cloud-Based and Patented SeeCube™ Solution Utilizes Machine Learning to Improve Security Capabilities;
- Aids Law Enforcement in the Prevention of Crimes and Capture of Criminals Attempting Escape By Altering or Removing the License Plate
Salt Lake City, UT, August 23, 2019 — omniQ, Inc., via its omniQ division, has begun deploying its Artificial Intelligence (“AI”)-based, patented SeeCube203.972.9200203.972.9200™ solution utilizing its Visual Cortex algorithm, a revolutionary vehicle recognition system that combines vehicle make and color recognition capabilities with license plate number recognition technology.
SeeCube™ is a ground breaking cloud/on premise based security solution for Safe City and Safe Campus/School applications, using unique AI-based computer vision technology and software to gather real-time vehicle make and model data to supplement license plate identification capabilities to prevent crimes and terrorists from escaping by changing or removing the license plate.
Shai Lustgarten, CEO of omniQ stated, “SeeCube™ represents game changing technology for the security industry, particularly applicable to the Safe City and Safe Campus/School initiatives that are being rolled out in communities worldwide. There is a dire need to supplement and expand upon the ability to gather and process license plate numbers, as license plates can easily be altered or removed from vehicles altogether. Furthermore, bystanders who witness a crime are seldom able to fully recall a vehicle’s license plate number, but can often accurately report make and model details. SeeCube™ captures and records all of the vehicle characteristics, including the make, model year and color, in addition to the license plate information, to enable law enforcement and homeland security to more quickly and accurately identify and track a vehicle, even if the license plate has been altered or removed.”
The SeeCube™ feature was recently successfully tested by Homeland Security in a high-risk area outside of the United States, where it allowed law enforcement agencies to successfully search for and create BOLO alerts for suspect vehicles based on knowledge of make and/or color only.
Mr. Lustgarten continued, “Our safety systems are operational in some of the most sensitive regions of the world and have proven to be an essential tool in crime prevention and in getting criminals behind bars more rapidly. We provide essential intelligence to law enforcement and homeland security organizations based on the most sophisticated AI and machine learning technology, and believe that SeeCube™ will be a vital tool for the growing Safe City and Safe School movement. We’re excited about the opportunities we’re seeing to bring our solution to a wide range of customers, improving safety for students as well as the public at large.”
omniQ’s Image Processing subsidiary is a leading provider of computer vision image processing-based solutions using patented and proprietary AI technology to provide real-time surveillance and monitoring for homeland security, traffic & parking management, law enforcement and access control applications as well as supply chain management.
Rated in the Top 1% of global solution providers, omniQ specializes in the design, deployment and management of enterprise mobility solutions including Automatic Identification and Data Capture (AIDC), Mobile Cloud Analytics, RFID (Radio Frequency Identification), and proprietary Mobility software. Our mobility products and services offering is designed to identify, track, trace, share and connect data to enterprise systems such as CRM or ERP solutions. Our customers are leading Fortune 500 companies from several sectors including manufacturing, retail, distribution, food / beverage, transportation and logistics, health care and chemicals/gas/ oil.
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