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

  • Bristol’s buses trial CycleEye detection system
    July 7, 2017
    Fusion Processing’s Jim Hutchinson looks at a two-year trial of the company’s cyclist detection system. Is cycling in a city dangerous? Well, that depends where you are and how you view statistics. Malmö is far more bike-friendly than Mumbai and the risk can either be perceived as small - one death per 29 million miles cycled in the UK in 2013 - or large - that equated to 109 deaths in the same year. Whatever your personal take on the data, the effect of these accidents can be felt indirectly too. News of c
  • Getting more for less from traffic data
    August 15, 2012
    Collection of traffic and transit data has grown significantly, combining with advances in connectivity and computational modelling to good effect. Desire to do more with less – to make budgets go further – has helped create a boom in the collection and study of traffic and transport data. Studies are becoming longer, greater in number and further in-depth as more intelligence is sought, plus, transportation agencies are looking to make processes of data collection less costly, or more efficient.
  • Sorting myth from reality in vehicle automation
    June 2, 2016
    Bob Denaro looks beyond the hype surrounding autonomous vehicles to the challenges that still need to be overcome. Automated vehicles (AVs) may be the perfect storm – in a positive way - with the automobile manufacturers, the government and consumers all embracing the emergence of a transformational new technology and product.
  • Copenhagen to showcase ITS in action at ITSWC 2018
    December 18, 2017
    As delegates head for the 2017 ITS World Congress in Montreal, we talk to Copenhagen mayor Morten Kabell about why his city is the ideal location for next year’s event. It may have been a long time coming but the ITS World Congress will be in Copenhagen in 2018 and there can be few more fitting places to host the event. By any number of metrics - interconnected transport, cycle commuting, safer streets, reduced pollution, sustainable energy and quality of life - the Danish capital has implemented what m