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.”
 

Related Content

  • October 29, 2014
    ITS need not reinvent machine vision
    Machine vision techniques hold the potential to solve a multitude of challenges facing the transportation sector Optical Character Recognition (OCR), the base technology for number plate recognition, has been in industrial use for more than three decades. It is a prime example of how, instead of having to start from scratch, the transportation sector can leverage and adapt the machine vision expertise already used in industry in order to provide robust solutions with new capabilities. “The real val
  • December 19, 2024
    From paved roads to data highways
    The vehicles of the future are coming; and with them, so are the cities of the future. But only if cities are prepared to make the investment, suggests Yagil Tzur
  • April 14, 2021
    Bosch introduces Inteox-based cameras
    Video analytics feature based on deep neural networks helps classify vehicles in congestion
  • November 12, 2015
    Driver aids make inroads on improving safety
    In-vehicle anti-collision systems continue to evolve and could eliminate some incidents altogether. John Kendall rounds up the current developments. A few weeks ago, I watched a driver reverse a car from a parking bay at right angles to the road, straight into a car driving along the road. The accident happened at walking pace, no-one was hurt and both cars had body panels that regain their shape after a low speed shunt.