According to Hanwha Vision Europe, Intelligent Transport Systems (ITS) are becoming a crucial building block for the development of successful smart cities. Modern AI-powered video analytics has now reached a level of maturity that goes far beyond traditional surveillance tasks and is increasingly capable of taking over functions previously performed by conventional sensor technology.

According to John Lutz Boorman, Head of Product and Marketing at Hanwha Vision Europe, AI-based cameras and networked systems enable cities to manage traffic flows, resources and security measures far more efficiently. Video analytics can, for example, detect traffic jams at an early stage, optimise traffic flows and alert emergency services more quickly in the event of accidents or hazardous situations. At the same time, emissions can be reduced through smarter traffic management.

Modern systems also offer advantages in the field of parking management. Real-time information on available parking spaces shortens the time spent searching for a space, whilst automated entry and exit processes reduce administrative effort. Furthermore, the data collected provides valuable insights for long-term urban and traffic planning.

Edge AI cameras, which perform analyses directly within the device, play a central role in this. This enables fast response times, reduces server loads and minimises false alarms through modern deep learning methods. Features such as automatic object tracking, intelligent search functions or multi-sensor cameras help operators to efficiently monitor public spaces, roads, junctions and traffic routes whilst simultaneously gaining additional insights for planning and safety.

According to Boorman, the future of the smart city will be shaped significantly by the interconnection of intelligent transport systems. Prerequisites for this are close cooperation between authorities, a holistic approach to technology and the sharing of data. Only in this way can cities be made safer, more efficient and more sustainable.