Skip to main content

Sick unveils Free Flow Profiler for scanning vehicles

Sick has launched a vehicle measurement system which it says enables accurate 3D profiling of vehicles across multiple lanes in free-flow traffic. The Free Flow Profiler is an all-weather system suitable for vehicle tolling and classification uses, especially in operations such as optimal weight loading of ferries or trains and for verifying vehicle dimensions to maximise revenue recovery, the company adds. During multi-lane, free road movement, Sick’s 2D Lidar sensors scan traffic and measure vehicle l
May 20, 2019 Read time: 2 mins

536 Sick has launched a vehicle measurement system which it says enables accurate 3D profiling of vehicles across multiple lanes in free-flow traffic.

The Free Flow Profiler is an all-weather system suitable for vehicle tolling and classification uses, especially in operations such as optimal weight loading of ferries or trains and for verifying vehicle dimensions to maximise revenue recovery, the company adds.

During multi-lane, free road movement, Sick’s 2D Lidar sensors scan traffic and measure vehicle length, width and height. The system can be enlarged to include multiple lanes or adapted with varying sensor layouts to obtain the required information for monitoring purposes.

According to Sick, the system has a range up to 40m and can profile all vehicle types from heavy road transport to passenger cars, towed vehicles and motorbikes.

Vehicle measurements are processed in the Sick Traffic Controller to produce a 3D model of each vehicle. The system captures vehicle dimensions, vehicle type, driving direction and lane assignment. Options to integrate vehicle classification, axle counting or detection of overheated vehicle parts can be added to meet specific local operator conditions and requirements.

Neil Sandhu, Sick’s UK product manager for imaging, measurement, ranging, says the solution is versatile “whenever accurate 3D vehicle profile is an advantage”.

“For example, warnings of over-height or over-sized vehicles approaching bridges or tunnels, or loading ferries so that the distribution of vehicles and weights is optimised,” he continues. “Up to 30 different automated vehicle classifications enable precise charging of toll fees.”

The system is expected to profile vehicle speeds up to 120km/hr and can be installed in new facilities, retrofitted and re-located. It can also be integrated with other traffic management monitoring systems such as optical character recognition, CCTV and security.

For more information on companies in this article

Related Content

  • Weigh in motion reduces road wear, increases toll revenue
    January 24, 2012
    IRD, Inc's Terry Bergan discusses future applications of weigh in motion technology. The application in recent years of Weigh In Motion (WIM) at tollgates has been driven by recognition of the fact that there is economic value, which can be levied, attached to Heavy Goods Vehicles (HGVs) which haul laden (and are therefore heavy) rather than empty. As wear and damage to road surfaces increases exponentially with weight, the targeting of HGVs in particular makes sense from both the economic and maintenance p
  • Cepton and Mechaspin launch lidar tolling solution
    November 13, 2019
    Cepton Technologies is working with machine learning company MechaSpin to develop a lidar-based solution that produces detailed 3D classification of vehicles in real time for automated tolling applications.
  • How WiM helps authorities identify repeat offenders
    May 31, 2023
    Company profiling – the process of identifying repeat corporate offenders when it comes to things like truck overloading – is one of many uses of WiM. And it may become more important
  • Vision technology lifts blinkers from tunnel vision
    December 6, 2017
    Sony’s Jerome Avenel looks at how advances in imaging technology are helping improve safety. On the 24th March 1999, a Belgian truck transporting flour and margarine through the 11.6km Mont Blanc tunnel caught alight when a cigarette stub entered the engine induction snorkel, lighting the paper air filter. The fire left over 30 dead and many more injured. At the time, the Mont Blanc tunnel disaster was the world’s worst tunnel fire.