CHALLENGE

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
• Advance 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
• Traffic measurements and collection of traffic data
• Sharing of traffic data to the city’s central IoT platform

OUTCOME

A Multi-Function Sensor System for Smart City Solutions