Traffic Control Made Easy at Missouri College

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PlateSmart News

PlateSmart ARES ALPR helps keep students and staff safe

MEDIA CONTACTS
Art Aiello, Marketing Manager | aaiello@platesmart.com
813-749-0892, x. 1015
NOTE TO MEDIA:
To download a Word version of this press release as well as high-res imagery, click here

OLDSMAR, Fla. — April 18, 2019 — A private Missouri college found itself challenged recently in managing high volumes of traffic coming onto its campus. From students to staff to members of the local community availing themselves of the campus’s many popular resources — including a museum and a restaurant — it became clear to the school’s security team that traffic management needed improvement to keep staff and students safe. Thus, the college chose the innovative PlateSmart ARES automatic license plate recognition (ALPR) solution as part of its traffic control system.

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The PlateSmart ARES ALPR system integrates seamlessly with the Milestone Systems XProtect VMS.

Key to implementing such a system was the school’s IT team, which told the college’s security vendor that it needed a system that would automatically check vehicles coming through the main entrance against a white/blacklist. This would ensure that only authorized vehicles entered the campus.

“The school needed an ALPR solution that could be integrated with the school’s existing Milestone Systems video management system,” said Mike Budz, director of sales, PlateSmart. “PlateSmart’s long-time partnership with Milestone meant that the PlateSmart ARES was the perfect fit.”

According to the school’s CIO, the system also needed to be able to add license plate data to the school’s existing SQL database.

“We manually capture driver’s license information, vehicle photos — even photos of passengers — the first time a car enters the campus,” the CIO said. “All of that is in a SQL database, and PlateSmart’s ability to work within SQL was a huge selling point.”

The PlateSmart ARES system was installed in August 2018. The software uses two cameras within an ALPR scanning zone to read the rear license plate on every vehicle as well as the front one, if it is available. If the vehicle is on the college’s white list of approved vehicles, ARES triggers a stoplight to turn from red to green, authorizing the vehicle to pass. If the vehicle is black-listed, however, ARES maintains the red stop light while triggering visual and audible alerts within the gatehouse. It also triggers emails to be sent to key stakeholders with vehicle information from the SQL database.

When a plate is detected that is new to the system, the red traffic light doesn’t change until a security officer captures the driver’s information and manually turns the light green.

While the ALPR system worked well out of the gate, the CIO and his team spent months optimizing it. He said PlateSmart’s object recognition technology, which allows it to read a license plate even if it isn’t optimally positioned for the camera, made it faster and easier to dial in.

“The PlateSmart system has done — and continues to do — its job very reliably,” the CIO said. “Right now, it reads about 48,000 plates a month. Of those, about 70% are first-time visitors. The PlateSmart solution allows us to focus on those while maintaining traffic flow for the other approved vehicles.”

About PlateSmart®

PlateSmart Technologies has developed the world’s first software-only vehicle identification and video analytic solutions, which are compatible with both state-of-the-art and legacy cameras. PlateSmart offers both mobile and fixed-location solutions, which are designed either to function as stand-alone tools or to integrate with third-party software and hardware. ARES, PlateSmart’s enterprise solution, provides real-time actionable intelligence with license plate number, state jurisdiction, and vehicle make recognition for complete situational awareness. PlateSmart’s solutions are the recipients of multiple industry awards for excellence in security technology.

FORWARD-LOOKING STATEMENTS: This press release may contain forward-looking statements and/or predictions. These statements are based on history, current knowledge, and current market conditions. They are subject to change without notice as conditions and knowledge change; therefore, undue reliance should not be placed on such statements.

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