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

  • Seoul Robotics thinks everything’s better in 3D
    January 9, 2024
    As more and more of us will live in urban areas and need to share space on the road, 3D perception and smart cities point the way to safer transportation, says William Muller of Seoul Robotics
  • Sick’s new TDC helps access smart traffic data anywhere
    March 20, 2018
    Sick’s new TDC - telematic data collector - gateway enables easy collection of sensor and system data from mobile and stationary systems. Together with localisation data (GPS), the data can be transferred to a server or cloud via a 3G mobile communication protocol (MQTT) provided in the system. Data can be displayed, monitored, recorded and analysed in no time at all and from any location, according to the company. This means that users can respond in a strategic, economically appropriate manner.
  • Lidar lets planners see big picture in Chattanooga
    April 14, 2025
    The city of Chattanooga, Tennessee, is attempting to make its streets safer by using the largest deployment of Lidar-based traffic detection in the US. Adam Hill reports…
  • Electronic tolling coming to New Zealand in 2015
    March 27, 2015
    New Zealand is to implement multi-lane free flow tolling on key routes in Tauranga later this year, with the installation of two high-tech electronic tolling gantries, each with 16 cameras, on Tauranga Eastern Link (TEL) and Route K. The cameras will capture an image of the vehicle’s front and rear registration plates using the latest optical character recognition technology. The cameras will read the registration plates and determine the size of the vehicle and whether it is a motorcycle, car, truck or