Skip to main content

In Image Triggering breakthrough

JAI has developed a new In Image Triggering (IIT) traffic camera system that is able to handle a wide range of advanced vehicle imaging and vehicle recognition (ANPR) applications in open road tolling, congestion charging, section speed control, parking access control, journey time and other traffic management applications.
February 3, 2012 Read time: 2 mins
When the car license plate passes the 'virtual trigger line' (the rectangular field), the projected IR light is reflected from the license plate back to the camera, which is then triggered to capture an image
78 JAI has developed a new In Image Triggering (IIT) traffic camera system that is able to handle a wide range of advanced vehicle imaging and vehicle recognition (ANPR) applications in open road tolling, congestion charging, section speed control, parking access control, journey time and other traffic management applications.

The key to the IIT system is its ability to detect and capture images of fast-moving vehicles without the need for ground loops, laser detectors or other lane controller hardware. It uses IR light reflected from passing vehicles to create a virtual 'trigger line' which tells the camera when to capture an image. JAI says that this patent-pending triggering technique provides very reliable image results.

The company's IIT Traffic Camera System is a robust all-in-one design which supports quick deployments and significantly reduced infrastructure costs in any ANPR application. The system includes, in one compact unit, a camera, plate illumination, light sensing, triggering and embedded ANPR/ALPR functions, with Ethernet or wireless interface. The system's built-in IR illuminator enables reliable imaging of vehicle plates, day or night, in virtually any weather or ambient light conditions, without the need for an external flash or other supplemental light sources. Also built into the IIT system is an advanced light sensing system which reads the light being reflected from the scene and instantaneously adjusts the camera settings for best image exposure.

The system, which can be installed on existing gantries or on poles, can be configured with a range of JAI-designed cameras from the company's VISCAM family of products.

Related Content

  • May 30, 2014
    UV LEDs light the night without driver fright
    ANPR camera producer MAV Systems is using Epitex’s infrared LEDs in stand-alone illuminators to capture high definition images of fast moving vehicles at night without distracting drivers. MAV’s managing director Steve Walker, said; “Our customers need the best overview images, night and day, and don’t want to use harsh white light or have to erect expensive additional mounting positions. Combining our intelligent LED pulse driver circuits with Epitex’s infrared LEDs means we can provide clear night-time p
  • November 17, 2014
    Jenoptik supplies sophisticated multi-section control project
    Efficient speed enforcement in the most highly frequented tunnel in Austria on the A7 near Linz. The Bindermichl-Niedernhart tunnel complex on Austrian highway A7 connects the major east/west A1 route from Vienna/ Bratislava to Munich/Salzburg with the A7/ E55 running south from Prague in the Czech Republic. This happens right in the middle of the city of Linz, Austria.
  • July 26, 2012
    Technology advances improve enforcement
    Across the board, technology is being brought to bear to improve the efficiency of enforcement. Bus lane monitoring, parking and controlled access have all benefited from systems introduced in recent months. While speed and red light infringements tend to attract the most attention, there remain several other areas of enforcement where automation can bring significant operational and efficiency benefits. Lane monitoring and access control also continue to benefit from technological development.
  • March 11, 2015
    Keeping a watching brief over traffic flows
    Monitoring traffic flows is set to become an even bigger challengebut a revolution in camera technology can help, as Patrik Anderson explains. By 2025 almost 60% of the world’s population will live in urban areas and in those cities there will be an estimated 6.2 billion private motorised trips every day. In order to manage this level of traffic growth, traffic management centres (TMCs) will need to both increase their monitoring capabilities and be able to detect traffic problems quickly, efficiently and r