CHALLENGE

Multi-function sensor system for diverse and effective traffic measurements and cost-efficient traffic light control – to help the City of Stockholm to become the world’s smartest city by the year 2040.

SOLUTION

• Using Qamcom’s AI and edge-to-cloud platforms for edge intelligence
• Advanced neural networks for object detection and classification
• Advanced tracking and counting
• Automatic traffic light control
• Detection of different types of vehicles, bicycles and pedestrians
• Traditional image processing techniques and knowledge to enhance the results
• Sharing of traffic data to the city’s central IoT platform

PURPOSE

• Make the city smarter while not adding a new sensor system for each function
• Reduced cost and maintenance for traffic light control
• Improved city planning and traffic flow