Skip to main content

Tieto develops AI-IoT pedestrian recognition 

Tieto and the Finnish city of Tampere have launched a pedestrian recognition system which it claims can achieve up to 99% accuracy - and 75% at night.  
By Ben Spencer February 13, 2020 Read time: 1 min
AI and IoT in action at an intersection (Source: City of Tampere)

The software company says the solution utilises artificial intelligence (AI) and Internet of Things technology to automatically detect when a pedestrian is planning to cross the street at an intersection.

In Tampere, an intersection traffic camera feed was connected to a cloud-based AI system which monitors vehicles and pedestrians. The system sends an alert once its algorithms detect a pedestrian beginning to cross the street. This alert can be relayed to other connected systems and could be relayed directly to vehicles to alert drivers in the future, Tieto adds.  

Pekka Stenman, traffic engineer at the City of Tampere, says: “We want to see how people move, and perhaps construct heat maps of Tampere's pedestrian flows to assist with traffic planning. Another interesting opportunity is introducing more intelligence to traffic lights by identifying and predicting people flows.”
 

For more information on companies in this article

Related Content

  • Flir boosts traffic flow with TrafiBot AI camera
    May 13, 2024
    It uses two proprietary AI models developed from millions of Flir-captured images
  • User-based insurance joins the battle for big data
    November 10, 2015
    User-based insurance is blazing a trail others would like to follow and is also discovering the challenges. The ITS sector needs to keep a very careful eye on the automotive industry: “There’s a war going on in the connected car space creating richer datasets than we ever imagined possible” says Paul Stacy, research and development director of Wunelli, part of the LexisNexis group. The car makers have gone way beyond infotainment, unlocking huge amounts of data in the process … facts and figures which the i
  • Syracuse models post-industrial revival for US cities
    August 13, 2015
    A connective corridor in Syracuse, New York State, could be a model for other post-industrial cities, as David Crawford discovers. The aim of the city of Syracuse’ 5.6km-long Connective Corridor in Onandaga County in upstate New York is to create a model ‘complete street’ for use in wider regeneration schemes. Key transport-sector components are traffic calming, high-quality transit with accessible passenger information, plus walkability and bike-friendliness.
  • Machine vision makes progress in traffic applications
    June 2, 2014
    Machine Vision technology is easing the burden on hard-pressed control room staff and overloaded communications networks.