Xerox video analytics detects vehicle occupancy

Xerox is showcasing its Vehicle Passenger Detection System at the ITS America Annual Meeting. The vehicle occupancy detection system – a 2015 Best of ITS Awards Finalist – uses video analytics to identify the number of occupants in a vehicle with 95% accuracy, at speeds ranging from stop and go to 100 mph. Geometric algorithms detect whether a seat is vacant or occupied. If the setting on the HOT lane transponder doesn’t match with the number of occupants, the system will take a snapshot of the vehicle’s
June 3, 2015 Read time: 2 mins
4186 Xerox is showcasing its Vehicle Passenger Detection System at the ITS America Annual Meeting. The vehicle occupancy detection system – a 2015 Best of ITS Awards Finalist – uses video analytics to identify the number of occupants in a vehicle with 95% accuracy, at speeds ranging from stop and go to 100 mph.

Geometric algorithms detect whether a seat is vacant or occupied. If the setting on the HOT lane transponder doesn’t match with the number of occupants, the system will take a snapshot of the vehicle’s license plate and alert law enforcement to the violator.

To ensure driver privacy, facial images are redacted. Law enforcement and court personnel can view the unredacted photos with appropriate authorization.

Xerox debuted the system at ITS World Congress in Detroit, and during the past year has run successful pilot programs in Halifax, Nova Scotia; Orange County and San Diego, California; Denver, Colorado; and a border crossing between France and Switzerland. Xerox expects the first commercial deployment of the system within the next 6 months.

At the ITS America Annual Meeting, Xerox also sponsored the Entrepreneurial Village, which enables start-ups to continue changing the face of transportation.

For more information on companies in this article

Related Content

  • Flir launches thermal fire sensor for rail coaches
    September 20, 2016
    Flir Systems is taking advantage of the Innotrans 2016 exhibition in Berlin, Germany, 20-23 September, to launch the Flir RSX-F intelligent sensor for advanced fire detection inside rail coaches. The sensor uses the Flir Lepton thermal sensor and high-definition visual imaging for fire and occupancy detection as well as CCTV monitoring. The Flir RSX-F uses a thermal sensor with on-board fire detection algorithms to detect a fire faster and more accurately than conventional methods. It detects thermal
    Read More
  • Debating the future of in-vehicle systems
    December 6, 2012
    Industry experts talk to Jason Barnes about the legislative situation of current and future in-vehicle systems. Articles about technology development can have a tendency to reference Moore’s Law with almost indecent regularity and haste but the fact remains that despite predictions of slow-down or plateauing, the pace remains unrelenting. That juxtaposes with a common tendency within the ITS industry: to concentrate on the technology and assume that much else – legislation, business cases and so on – will m
    Read More
  • Australia's ground breaking average speed enforcement
    February 1, 2012
    The speed enforcement system on the Hume Highway in Australia combines both spot and point-to-point solutions. Here, Redflex's Peter Whyte discusses its implementation. The Australian State of Victoria has achieved notable success in reducing casualty rates since launching a three-pronged road accident prevention initiative in the late-1980s.
    Read More
  • IP-based video management
    January 27, 2012
    Siqura, a member of TKH Group, has released Siqura Diva, an IP-based video management solution that offers a full-featured live viewing and playback user interface, with built-in intelligence for a number of applications. For instance, when combined with the company's IP cameras and codecs in traffic applications, Diva offers an ideal solution for a wide range of situations, including traffic data collection and vehicle tracking. The company claims that because the solution successfully manages the network
    Read More

Highlighted Content