Skip to main content

Getting the Max from Traficon

Traficon has unveiled Viewcom/E Max, its latest innovation for the US market. This module performs all primary functions for communication and transmission of traffic data and alarm events issued by VIP vehicle presence detectors. New for this communication module is its more powerful processor, bringing higher computing performance and the addition of MPEG-4 video streaming functionality.
March 12, 2012 Read time: 2 mins
Bill Klyczek with the Viewcom/E Max module
5574 Traficon has unveiled Viewcom/E Max, its latest innovation for the US market. This module performs all primary functions for communication and transmission of traffic data and alarm events issued by VIP vehicle presence detectors.
New for this communication module is its more powerful processor, bringing higher computing performance and the addition of MPEG-4 video streaming functionality.
Bill Klyczek, VP of Traficon USA, explains: "Although our customers are very satisfied with the detection performance of our video detection products, an increasing number of people are also requesting MPEG-4 compression to view live video on their PC displays and video walls. Bringing in high-quality images at the TMC simply makes visual verification much stronger and allows the operator to take quick decisions to better monitor and control multiple intersections across the city."
This Viewcom/E Max module in operational mode provides streaming video at 30fps using a relatively small bandwidth. Multiple clients are able to view the streaming video simultaneously. Using a standard Internet browser, the module can easily be managed over the TCP/IP Ethernet network, thereby facilitating remote administration. This means users have easy access to a number of functionalities such as streaming video, real-time traffic data reports and can accomplish set-up right from their desks.

For more information on companies in this article

Related Content

  • The control room revolution - LCD screens and IP technology
    July 17, 2012
    Coming soon to a screen near you: Brady O. Bruce and John Stark of Jupiter Systems discuss trends in control room technologies. Perhaps the single most important trend in the control room environment over the last 12-18 months has been the accelerated move towards the adoption of flat-screen Liquid Crystal Display (LCD) technology. Having made their presence felt in the home environment, where they continue to replace outdated cathode ray tube-based technology, LCDs have reached the point where their perfor
  • Machine vision’s transport offerings move on apace
    June 30, 2016
    Colin Sowman considers some of the latest advances in camera technology and transport-related vision technology applications. Vision technology in the transportation sector is moving apace as technical developments on both the hardware and software sides combine to make cameras more multifunctional with a single digital camera now able to cover a multitude of tasks.
  • Transportation applications move to machine vision’s mainstream
    June 11, 2015
    The adaptation of machine vision to transport applications continues apace. That the machine vision industry is taking traffic installations seriously is evident by the amount of hardware and software products tailor-made for ITS applications that are now available on the market. A good example comes from US-based Gridsmart Technologies which has developed a single wire fisheye camera that provides a horizon to horizon view for use at intersections. Not only does the single camera replace four or more in a
  • Machine vision - cameras for intelligent traffic management
    January 25, 2012
    For some, machine vision is the coming technology. For others, it’s already here. Although it remains a relative newcomer to the ITS sector, its effects look set to be profound and far-reaching. Encapsulating in just a few short words the distinguishing features of complex technologies and their operating concepts can sometimes be difficult. Often, it is the most subtle of nuances which are both the most important and yet also the most easily lost. Happily, in the case of machine vision this isn’t the case: