Perceptics LPR imaging systems to be installed at key US border checkpoints

Perceptics, working in conjunction with Unisys Federal Systems, has been awarded a key contract by US Customs and Border Protection to replace existing licence plate reader (LPR) technology, and to install Perceptics next LPRs at 43 US Border Patrol check point lanes in Texas, New Mexico, Arizona, and California. Perceptics LPR integrates vehicle and surrounding scene and driver images and offers a range of features that provide personnel at border checkpoints with high quality images and high licence pl
March 8, 2016 Read time: 2 mins
1919 Perceptics, working in conjunction with Unisys Federal Systems, has been awarded a key contract by US Customs and Border Protection to replace existing licence plate reader (LPR) technology, and to install Perceptics next LPRs at 43 US Border Patrol check point lanes in Texas, New Mexico, Arizona, and California.

Perceptics LPR integrates vehicle and surrounding scene and driver images and offers a range of features that provide personnel at border checkpoints with high quality images and high licence plate read rate accuracy of all characters with state/province of origin identification in all weather conditions.

“Our technology is clearly preferred by North American border agencies due to our ability to provide such highly accurate and reliable data,” said Perceptics’ CEO John Dalton. “In addition, we are thrilled to be working with our integration partner Unisys Federal Systems to begin installation in February of 2016, and further build on our three-decade partnership with US Customs and Border Protection.”
Detection, Monitoring & Machine Vision

Related Content

  • February 1, 2012
    Infrastructure funding and road user charging – debate continues
    Jack Opiola provides an overview of the ongoing debate over US infrastructure funding and the progress – or lack of it – towards vehicles miles travelled road user charging. The future funding of transportation and mobility infrastructure is attracting increased attention. There has been sharp debate in the US, where landmark reports from the National Surface Transportation Infrastructure Financing Commission and the National Surface Transportation Policy and Revenue Study Commission both stated that the cu
    Read More
  • September 23, 2014
    Idaho adds human dimension to winter savings
    Idaho leverages the increased capability and reliability of its road weather sensor network to reduce costs and prevent accidents. Weather-related accidents can form a significant chunk of an authorities’ annual road casualty statistics. While authorities cannot control the weather, the technology exists to monitor the road conditions and react with warnings to motorists and the treatment of icy or snow-covered roads. However, with all capital expenditure now placed under the microscope of public scrutiny,
    Read More
  • January 25, 2012
    Machine vision - cameras for intelligent traffic management
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case:
    Read More
  • February 3, 2012
    Detection analysis technology successfully predicts traffic flows
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
    Read More

Highlighted Content