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

  • Jenoptik measures out the future
    June 15, 2022
    The speed of tech changes means Jenoptik is redrawing how it sees itself. Adam Hill catches up with Stefan Traeger and Kevin Chevis at Intertraffic Amsterdam to find out more about ‘extended reality’…
  • AGD launch larger zone 645 pedestrian detector
    February 22, 2018
    AGD Systems (AGD) has upgraded its 645 Pedestrian Detector to now cover a 10m x 3m zone in a standard built format to monitor new super-crossings that are being deployed internationally. The solution is said to detect people while rejecting shadows, litter leaves and other distractions. 645 processes information on board with new chip-set and algorithms for automated decision making with the intention of providing ultra-reliable detection. It utilises a 3D high definition stereo-vision optical sensor tha
  • ITS need not reinvent machine vision
    October 29, 2014
    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
  • Tennessee DoT sets out I-24 traffic position
    September 14, 2021
    Study with 300 cameras will assess how ADAS might help to smooth road to Chattanooga