Speed Enforcement LPR

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At Riverland Technologies, we play a vital role in driving safety through our partnership with law enforcement and our advanced LPR technology. Identifying vehicles that exceed determined speed limits supports all of our safety and Riverland Technologies has provided the Matrix LPR Software to do just that. One of the main challenges that other LPR engines on the market face is the ability to capture license plates at a high rate of speed. Riverland’s Matrix Software utilizes advanced technology to detect and read license plates at up to 200mph. Due to the importance of speed enforcement in safely governing our roads, the quality, performance and functionality of road safety systems is of paramount importance. Our market-leading LPR cameras and innovative LPR software provide confidence to users that road safety will be upheld through the consistent identification of speeding vehicles.

Supporting security and safety, Riverland Speed Awareness System© will help officers enforce speed limits while also gathering data and imagery of violators. The Speed Awareness System© includes the Matrix Fixed Camera Intelligent LPR Camera which captures the license plates of all vehicles on the targeted route or designated location. The LPR camera is complimented by a radar unit which identifies the speed of each vehicle that passes in front of the system.

Riverland guarantees accurate reads up to 200mph.

The Speed Awareness System© offers an open communication interface, which is easily adapted to meet the differing needs of various applications. These applications can include:

  • Road Safety Systems – Advisory speed alerts
  • Vehicle behavior – Industrial parks, residences and private land
  • Security – Identification and record of speed
  • School Zones- Managing repeat offenders

These are but a few of the solutions that can be offered with the inclusion of this technology which provides all the leading features of the Matrix Solution including ease of compatibility.

Reduction of False Positives

Additionally, our Matrix PlateFinder technology identifies license plates in the field of view, thus eliminating and/or reducing false positives (bumper stickers, decals, etc.). Our proprietary algorithm accomplishes this and reduces data storage requirements and false alerts. Riverland’s system allows for effective control and review of all system aspects to ensure that efficiency and performance are consistently above average. Our technology is an advanced world class software engine that provides the plate finding and LPR algorithms to accurately find and read license plates. 

Advanced Algorithms

Our team has been consistently fine-tuning and adjusting over the last 10 years to make it a leader in LPR engines on the market. There are a number of LPR engines on the market but the efficiency and accuracy that they offer differ greatly. What sets our Riverland Technology Matrix apart from our competitors is the use of highly advanced algorithms, developed to detect and read license plates under a challenging range of conditions, ensuring accurate detection and alerting. 


There are many LPR engines on the market but there is only one Matrix LPR System. It offers the quality, accuracy and efficiency that enables the capture of license plates for speed enforcement solutions.

City of Lathrop, CA

The city of Lathrop CA selected Riverland Technologies as its LPR solution provider securing its developing community.  In addition to securing other critical assets, several large technology companies, such as TESLA’s  870 thousand Square foot facility mutually benefit from the added layer of security found within the city and its use of Riverland’s cameras and […]

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Naples Florida PD

Naples Police Department has joined the list of over 18 cities within south Florida deploying and using Riverland’s LPR Technology for its city wide LPR solution. Within days of the system going live the city recognized the incredible benefits of its use and solved a bank robbery. With accurate alerting via Matrix Central, Law Enforcement […]

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