The award-winning PlateSmart ARES® ushered in a new era of ALPR software-only solutions that can work with any compatible video management system (VMS) or IP camera.
Cutting-edge deep learning technology allows PlateSmart ARES to deliver true object recognition for more actionable vehicle data. This includes the license plate as well as the state jurisdiction, vehicle make, color, orientation, and type.
How PlateSmart ARES Excels
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Perspective Correction: Corrects Hard-to-Read Plates
AI-Driven ALPR Software Delivers More Actionable Data
Cutting-edge deep learning technology lets PlateSmart ARES capture even more vehicle data:
- Vehicle color
- Vehicle orientation
- Vehicle type
ALPR Software Enhances CPU Performance
Looking at the entire frame for a plate can tax the CPU. Users can specify exactly where in the frame PlateSmart ARES should look and when, minimizing strain on the CPU and enhancing performance.
- Frame regions
- Frame masks
- Motion triggers
ALPR Filters Through Graphics
ARES ALPR Software Reads Through Dirt & Grime
Reads Plates at Night Using Traditional IR Light or White Light
ALPR Software that Reads Stacked Characters
Sees Specialty Plates
One of the challenges of conducting ALPR in the U.S. is the variety of specialty plates. No issue with PlateSmart ARES software, as it can easily read specialty plates.

CASE STUDY: PlateSmart ARES Helps Solve Major Crimes
On June 27, 2018, five men conspired to steal a strongbox full of cash from the three owners of a LaGrange, GA, store. Their plan failed and left one of the men dead. The LaGrange Police Department used PlateSmart LPR technology to find, arrest, and prosecute the remaining perpetrators.
PlateSmart ARES ALPR Software-only Components

PlateSmart ARES Viewer allows you to view plate captures and alerts in near real-time and in full color. Plus it offers extensive filtering capabilities for quick research.

Use PlateSmart’s ALPR software-only ARES Reporter for more detailed information about the plates you capture. Look up full or even partial plates. Even identify vehicles that are currently — or have been — within your perimeter.