Lighting the way for tornado tracking

US manufacturer and supplier of infrared (IR) and white light illuminators and license plate recognition products, iluminar, is supporting NBC Universal’s The Weather Channel Tornado Track crew. Featured regularly on The Weather Channel on the road chasing storms, the Tornado Track crew uses a GMC Yukon SUV to check severe weather conditions and report their findings live, on-air and online. Helping the Tornado Track crew to see the powerful natural phenomenon in the dark is iluminar’s new Q-Ball came
May 28, 2014 Read time: 2 mins
US manufacturer and supplier of infrared (IR) and white light illuminators and license plate recognition products, 7762 iluminar, is supporting NBC Universal’s The Weather Channel Tornado Track crew.

Featured regularly on The Weather Channel on the road chasing storms, the Tornado Track crew uses a GMC Yukon SUV to check severe weather conditions and report their findings live, on-air and online.

Helping the Tornado Track crew to see the powerful natural phenomenon in the dark is iluminar’s new Q-Ball camera system mounted on the Tornado Track vehicle, The camera has infrared capability, supported by two iluminar super long-range infrared LED lights mounted on the front and each side of the vehicle to give 270 degrees of coverage and allowing the crew to see tornadoes at night.

"We are thrilled to work with NBC Universal and The Weather Channel in their efforts to alert people to the threats of severe and dangerous weather," says Mrs Eddie Reynolds, president and CEO of iluminar Inc. "This is a wonderful venture and we are pleased iluminar infrared lighting is playing a role in keeping people safe and informed."
Air Quality & Weather Systems

For more information on companies in this article

Related Content

  • Network video alternative to machine vision in urban applications
    January 11, 2013
    It would be easy to fall into the trap of seeing machine vision as the vision-based solution for ITS and traffic, however Patrik Anderson, Director Business Development Transportation of Axis Communications, notes that many of the applications which are coming to be associated with machine vision – and, indeed, many of the characteristics, such as at-the-edge analytics and image processing – are also possible with open-standard networked video. Networked video brings a whole host of advantages, such as the
    Read More
  • UV LEDs light the night without driver fright
    May 30, 2014
    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
    Read More
  • Communications redundancy increases VMS reliability
    December 17, 2014
    Hybrid communications to variable message signs increase resilience to natural disasters and enable deployment in remote areas, as Alan Allegretto explains. Variable Message Signs (VMSs) are a common sight and a well-proven means to improve public safety on our roads and highways. ITS professionals rank the VMS as second only to interoperable radios as the most important technology to improve effectiveness during emergency incidents and evacuations. Ironically, however, current systems suffer from one criti
    Read More
  • 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:
    Read More

Highlighted Content