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

  • New legal basis brings EU wide cross border enforcement
    February 25, 2015
    Pan-EU enforcement is set to become a reality after legislation is revised. In May 2014 the European Court of Justice ruled that European Directive 2011/82/EU, which came into force in November 2013 to facilitate the exchange of information between member states in relation to eight road traffic offences, had been set up on an incorrect legal basis. The regulations had been introduced under police cooperation rules on the prevention of crime, but the Court decided that the measures in the Directive do not c
  • Camera technology a flexible and cost-effective option
    June 7, 2012
    Perceptions of machine vision being an expensive solution are being challenged by developments in both core technologies and ancillaries. Here, Jason Barnes and David Crawford look at the latest developments in the sector. A notable aspect of machine vision is the flexibility it offers in terms of how and how much data is passed around a network. With smart cameras, processing capabilities at the front end mean that only that which is valid need be communicated back to a central processor of any descripti
  • Ekin releases AI-based smart traffic system
    January 21, 2021
    X Spotter mobile and portable enforcement system provides ANPR for up to three lanes
  • Predicting the future for video camera systems
    March 12, 2012
    Jo Versavel, Managing Director of Traficon, talks about near-term trends in video camera systems. Jo Versavel starts by making one thing clear: long-term forecasts as to what the future holds for video-based traffic monitoring are to all intents and purposes meaningless. The state of the art is developing so fast that in reality it's impossible to say where we'll be in 10 years' time, says the Managing Director of Traficon. In his opinion making firm predictions even five years out is too ambitious, whereas