This alert can be relayed to other connected systems, such as automatic traffic signs. When the system’s algorithms detect that a pedestrian is beginning to cross the street, it gives an alert. In Tampere, an intersection traffic camera feed was connected to a cloud-based AI system which monitors vehicles and pedestrians. The solution is built in a way which prevents the identification of individual people or vehicles. Developed as a part of the Smart Tampere development program, the pilot solution can help reduce pedestrian and vehicle accidents in urban intersections. To increase the safety of urban traffic and prevent accidents, the City of Tampere and Tieto built a pilot solution that utilizes AI and IoT technology. The risk of injury and death is especially high for pedestrians. As road traffic increases, so does the risk of traffic accidents, especially at intersections. Urbanization increases the number of people on the move in metropolitan areas. Furthermore, in the future, the system can also be a building block for autonomous vehicles. An alert can be relayed to automatic traffic signs, and in the future even directly to vehicles. Utilizing artificial intelligence (AI) and Internet of Things (IoT) technology, the test solution can automatically detect when a pedestrian is planning to cross the street at an intersection. The City of Tampere, Finland and Tieto, a Nordic IT services and software company, have developed a solution to improve the urban traffic safety of pedestrians.
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