The real-time video monitoring function of the electronic stop sign not only facilitates the command center to rationally dispatch vehicles to provide data information, but also provides a powerful deterrent to pickpockets and a basis for obtaining evidence. There are three monitoring behaviors:

→ Face recognition

→ Behavior recognition

→ Density recognition

Through real-time statistics of the number of people in the bus station area, when the number of people in the area exceeds the set threshold, the relevant management personnel will be notified in time, so as to rationally arrange the number of trains to divert and divert passengers, and improve the efficiency of safety management.

Display the current trend of the number of people in the area, and take measures to prevent emergencies in areas with large numbers of people, so as to make reasonable adjustments to maintenance personnel and security personnel to control operating costs.

Based on huge-scale human movement data training, combined with intelligent zhgj-4.jpg video analysis, neural network and deep learning technology, automatic identification of the bus station area, such as calling, smoking, chasing, falling to the ground, fighting, stealing and other behaviors.