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

  • January 27, 2012
    Integrate systems to reduce roadside infrastructure
    David Crawford reviews promising current developments. Instrumentation of the road infrastructure has grown to become one of the most dynamic sectors of the ITS industry. Drivers for its deployment include global concerns over the commercial and environmental pressures of traffic congestion, the importance of keeping drivers informed throughout their journeys, and the need to reduce accident rates and promote the safety of all road users, for example by enforcing traffic safety rules.
  • October 26, 2021
    MarshalAI to reduce traffic emissions
    Ix3 is expected to remove unnecessary idling in traffic lights
  • May 21, 2025
    Bringing AI into ITS: Artificial realities
    AI can have a positive transformative effect on transportation safety and efficiency – but if you want creativity you still need a person, says Huawei
  • October 10, 2018
    The search for travel management's Holy Grail
    Combining accurate network estimates and forecasts with real-time information is the way to deal with traffic hot spots. Alan Dron looks at products which aim to achieve just that. Traffic management authorities have for years been trying to get ahead of the game. Instead of reacting to situations, they want to be able to head them off as they occur – or even before they happen. Finding that Holy Grail of successfully anticipating problems will save time, tension and tempers on city streets. Two new system