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

  • March 18, 2021
    Vivacity demos AI junction control
    How will AI-controlled junctions help smooth the journeys of drivers – and cyclists - in urban areas? Alan Dron looks at an expanding scheme in Manchester, UK, which aims to find out
  • November 21, 2024
    The AI revolution in transportation
    Navigating the future of mobility means approaching AI as a powerful tool that, when wielded responsibly, can help us build transportation systems that truly serve people, says Alex Nesic
  • July 20, 2018
    Grab and NUS set up AI lab in Singapore to make cities smarter
    Technology company Grab and the National University of Singapore (NUS) has set up an artificial intelligence (AI) lab to help develop smarter cities in South-east Asia. The partnership intends to solve challenges such as congestion and the liveability of cities in the region. The Grab-NUS AI Lab, part of an initial joint investment of S$6m (£3.3m), will utilise data from the Grab platform to provide insights into how citizens move across cities. It will also be used to map out traffic patterns and ident
  • March 14, 2022
    Lidar: beginning to see the light
    Lidar feels like a technology whose time has come – but why now? Adam Hill talks to manufacturers, vendors and system integrators in the sector to assess the state of play and to find out what comes next