Smart Cities: Reducing Congestion with Deep Learning

David Borst from the MindSphere Application Center at Siemens Mobility has taken a keen interest in the Bengaluru tests. "The better we understand traffic patterns, the better we'll be able to manage them," he explains. For instance, he points out that the ability to identify different vehicle types can be useful in urban planning. "Deep learning techniques can also be employed to detect accidents and automatically notify police and ambulance services. The technology could also capture visual evidence of traffic violations, extract vehicle numbers and automatically generate traffic tickets."