Vehicle mounted camera detects pedestrians, aids safety

The Blaxtair construction machine-mounted vision-based alert system distinguishes pedestrians from other objects, providing a visual/audible alarm to both driver and pedestrian when a person is in a position of danger. The intelligent camera system, from French company Arcure, is an obstacle detection device and pedestrian recognition equipment. It is capable of detecting all types of obstacles, locating them precisely with respect to the machine and determining whether an obstacle is a pedestrian or not.
March 18, 2014 Read time: 2 mins
The Blaxtair construction machine-mounted vision-based alert system distinguishes pedestrians from other objects, providing a visual/audible alarm to both driver and pedestrian when a person is in a position of danger.

The intelligent camera system, from French company 7660 Arcure, is an obstacle detection device and pedestrian recognition equipment. It is capable of detecting all types of obstacles, locating them precisely with respect to the machine and determining whether an obstacle is a pedestrian or not. The system consists of the 3D camera sensor head, processing unit and a seven-inch screen. The stereoscopic camera, mounted on the back or side of a vehicle, has a wide configurable viewing area for detecting workers/pedestrians and a smaller detection area for objects. It recognises the human form using a combination of algorithms and image processing technologies, while patented 3D analysis allows for precise distance and size measurement. Blaxtair provides the driver with high quality undistorted large field images, allowing him to better interpret distances and shapes on his screen. The company says Blaxtair is suitable for all vehicles and for use in quarries, surface mining, factories, construction sites and tunnelling projects. It could also be used for fixed installations where workers need to be protected from entering a potentially dangerous area/zones around plant machinery.
Detection, Monitoring & Machine Vision Urban Traffic Control

For more information on companies in this article

Related Content

  • Inertial sensors dramatically improve GNSS for ITS applications
    January 18, 2012
    Phil Harris, Thales UK, on how fused sensor data can significantly enhance GNSS-based positioning systems' performance in urban areas. Global Navigation Satellite System (GNSS)-based positioning is unique among available positioning technology due to its universal coverage and low equipment cost. By measuring the distances between an unknown position (such as a vehicle), and at least three known positions (GPS satellites), the unknown position can be calculated in three dimensions (latitude, longitude, and
    Read More
  • Virginia Tech reveals vested interest
    May 9, 2019
    New ITS systems on either side of the Atlantic – such as an intriguing piece of connected clothing – aim to reduce the casualty toll among road maintenance personnel, says Alan Dron t’s not a lot of fun working on road maintenance or road construction worksites. By definition, you’re out in all weathers. You’re not popular with motorists, who blame you for hold-ups. It’s frequently physically arduous. And, worst of all, the sector has an unenviable record of injuries - even fatalities. Often working jus
    Read More
  • CMOS cameras used to create video pedestrian crossing
    June 11, 2013
    The city of Cologne, Germany has installed two CMOS-camera based video pedestrian light systems that will recognise waiting pedestrians and extend the green phase if there are still people crossing after the standard time allocation. The system, implemented by Siemens, uses two Flir cameras. The safe walk camera observes the waiting area. A stereo camera with two CMOS 1/3-inch mono sensors and 3 mm lenses is mounted 3.5 metres above the ground to cover an area of 12 sq m. This camera is set to recognise on
    Read More
  • Machine vision develops closer traffic ties
    January 11, 2013
    Specifiers and buyers of camera technology in the transportation sector know what they need and are seeking innovative solutions. Over the following pages, Jason Barnes examines the latest developments with experts on machine vision technology. Transplanting the very high-performance camera technology used in machine vision from tightly controlled production management environments into those where highly variable conditions are common requires some careful thinking and not a little additional effort. Mach
    Read More

Highlighted Content