The system works at 300 city stop, where the number of passengers waiting for cameras with computer vision algorithms. The nervous network defines crowded stops and the most charged routes and automatically reports the reference center. This allows you to increase the number of transport at busy hours on time.
As developers explain, technology uses non -personal data that meets the requirements for the protection of personal information. The information received helps to optimize the movement of buses, cars and trams, and reduces the waiting time for passengers.
According to Ntechlab CEO Alexei Palamarchuk, several other cities have already attracted the system. The company is preparing to launch similar pilot projects in new regions in the near future.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
