Skip to main content

CMOS cameras used to create video pedestrian crossing

The city of Cologne, Germany has installed two CMOS-camera based video pedestrian light systems that will recognise waiting pedestrians and extend the green phase if there are still people crossing after the standard time allocation. The system, implemented by Siemens, uses two Flir cameras. The safe walk camera observes the waiting area. A stereo camera with two CMOS 1/3-inch mono sensors and 3 mm lenses is mounted 3.5 metres above the ground to cover an area of 12 sq m. This camera is set to recognise on
June 11, 2013 Read time: 2 mins
The city of Cologne, Germany has installed two CMOS-camera based video pedestrian light systems that will recognise waiting pedestrians and extend the green phase if there are still people crossing after the standard time allocation.

The system, implemented by 189 Siemens, uses two 6778 FLIR cameras. The safe walk camera observes the waiting area.  A stereo camera with two CMOS 1/3-inch mono sensors and 3 mm lenses is mounted 3.5 metres above the ground to cover an area of 12 sq m. This camera is set to recognise only objects with a height above 50 cm in order to eliminate shading and other distractions on the pavement.

C-walk – the second video system – uses a colour CMOS camera and recognises when not all pedestrians can cross in the minimum green period and sends a signal to the Siemens control unit in order to extend the green phase.

According to an article in Novus Light, the algorithms of the system also recognise the moving direction of pedestrians and can recognise those who only pass through the detection area. In this way, only people waiting at the light trigger a signal to the control unit of the pedestrian light, which, depending on the programming, starts a green phase at certain points in the current phase.

Dr Christoph Roth, product manager in the Road and City Mobility department at the Siemens Infrastructure and Cities Sector, says CMOS sensors were chosen because in traffic detection applications, they deliver more reliable images than CCD sensors and have a higher resistance to blooming from auto headlights at night.

For more information on companies in this article

Related Content

  • Driver monitoring systems ‘will use inward-looking camera-based technology’
    November 9, 2015
    New analysis from Frost & Sullivan, Original Equipment Manufacturer (OEM) Strategies for Driver Monitoring Systems in Europe, indicates that, as the loss of driver attention due to fatigue or drowsiness is a common cause of road accidents worldwide, there is a clear need for driver monitoring systems (DMSs) globally. DMSs can analyse driver behaviour or detect patterns tending towards micro-sleep to issue appropriate warnings and help revive the driver’s focus. Several original equipment manufacturers (O
  • Simulating the effects of optimal mobility
    May 30, 2024
    Simulation-based optimisation is the foundation for real-time predictive analytics when it comes to optimal traffic signal programming, explain Sunny Chakravarty of Econolite and Lorenzo Meschini of PTV Group
  • When speed compliance becomes a safety issue
    March 29, 2017
    David Crawford finds that softly, softly can be safely, safely when it comes to speed enforcement. Comedians and controversial TV presenters have long made jokes about having to watch the speedometer so closely as they pass speed camera after speed camera that they mow down bus queues. But the joke may have some factual basis according to a study by researchers from the University of Western Australia.
  • Smart Spanish city trials cell-based traffic management
    November 7, 2013
    David Crawford reports on an urban electronic nervous system. The northern Spanish city of Santander – historically a port - is now an emerging technology showcase attracting global attention as a prototype for a medium-sized smart city of the future. In a move to determine the optimal use of available data, it is creating a de-facto experimental laboratory for sensor and mobile phone-based urban traffic management and environmental monitoring innovations.