Skip to main content

Xerox launches passenger detection system for HOV/HOT lanes

Recognising that the benefits of high occupancy carpooling lanes are severely limited when motorists do not abide by the rules, Xerox has launched its vehicle passenger detection system, a HOV/HOT lane compliancy test system that uses Xerox video analytics to identify the number of occupants in a vehicle. Unlike competing solutions, the Xerox system identifies the number of occupants in a vehicle with better than 95 per cent accuracy at speeds ranging from stop-go traffic to 100 mph. Using patented vi
April 4, 2014 Read time: 2 mins
Recognising that the benefits of high occupancy carpooling lanes are severely limited when motorists do not abide by the rules, 4186 Xerox has launched its vehicle passenger detection system, a HOV/HOT lane compliancy test system that uses Xerox video analytics to identify the number of occupants in a vehicle.

Unlike competing solutions, the Xerox system identifies the number of occupants in a vehicle with better than 95 per cent accuracy at speeds ranging from stop-go traffic to 100 mph.

Using patented video analytics and geometric algorithms, the roadside detection unit can distinguish between empty and occupied seats. When a violation is detected, the information can be reported to the relevant enforcement agency in real time so an officer can visually confirm the information and potentially issue a citation.

Designed for tolling agencies managing HOT lanes and transportation departments as well as state law enforcement officers seeking better HOV enforcement, Xerox’s detection system can produce valuable analytics for agencies to improve road management, traffic patterns and total vehicle occupant statistics.

“Today, officers must park on the shoulder of a highway and quickly merge into traffic to chase down the violator, putting both the officer and the public at risk,” said Mark Cantelli, vice president, CTO, Government and Transportation Sector, Xerox. “This detection system automates the process and improves safety through the use of high-quality images and the generation of an evidence package.”

For more information on companies in this article

Related Content

  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a
  • Radar reinforces detection efficiency
    March 16, 2016
    Radar can have distinct advantages in some transport-related situations as Colin Sowman found out during a visit to Navtech Radar. Despite tremendous advances in machine vision techniques, the accuracy and reliability of camera-based detection systems suffer during periods of poor visibility where other technologies may offer an alternative. Radar is one such technology. It too has seen significant development in recent years and according to Navtech Radar, the technology can often fulfil detection and moni
  • Polarised imaging gives enforcement clarity
    February 6, 2020
    Polarised imaging advances have finally allowed ITS technology to catch up with previously unenforceable international bans on smoking in cars, says Sony’s Stephane Clauss
  • In-vehicle automation of safety compliance and other traffic violations
    January 24, 2012
    David Crawford explores new initiatives in enforcement. Achieving the EU’s new road safety target of reducing road traffic deaths by 50 per cent by 2020 depends on removing legal and institutional barriers to the deployment of new enforcement technologies, stresses Jan Malenstein. The senior ITS Adviser to Dutch National Police Agency the KLPD, and a European-level spokesperson on road and traffic safety, points to the importance of, among other requirements, an effective EUwide type approval process for fr