First, passenger flow data are crucial to public transportation scheduling, as uneven passenger flow time and vehicle capacity often lead to inefficiency in carrying passengers.

Second, it can help to avoid traffic accidents under certain circumstances. Due to the lack of accurate perception and control of passenger flow, there have been safety accidents caused by overloading.

Accurate passenger flow statistics, flexible vehicle planning

The public transportation passenger flow statistics camera applies deep learning technology to target tracking, monitoring, and technically integrated all-round image acquisition to realize real-time awareness of passenger flow changes. It provides a scientific basis for the operating and scheduling of the public transportation system, helps the fleet to reasonably allocate vehicles, improves the scheduling efficiency and safety, and improves the public transportation service. Meantime, scientific planning can reduce urban traffic congestion, the number of vehicles in service, environmental pollution, and enhance social and economic benefits.

Intelligent Public Transportation Management

Equipped with on-board DVR, it obtains passenger flow data in real time and conducts intelligent analysis through major stations, route and shifts, passenger flow distribution points, on and off peaks, etc. to provide decision-making support for route optimization and planning. It analyzes historical passenger flow data to estimate daily fare and establish an efficient and accurate fare monitoring system; at the same time, it evaluates the operating conditions through passenger flow data to help bus route planning. The application of this intelligent passenger flow analysis system will strongly support and improve public transportation management.

Built in algorithm with greater accuracy

The algorithm is integrated into the camera, compared with solutions in the market dealing with the algorithm in the MDVR, there is a significant improvement in detection accuracy and detection frame rate. The algorithm frame reaches 30 fps, the accuracy can be as high as 98%. The device can be used for various senarios, realizing highly accurate counting under crowdedness, passenger getting on and off abreast, side by side or wandering. It can also effectively detect and count people in special clothes and at different age.

Alarm output

Support alarm output, under situations like overloading, crowdedness when getting on and off, as well as passenger stranded, the device will send alarm to the display or MDVR, to strengthen the control of public transportation passenger flow, ensure passengers' safety, and help avoid accidents.

Applications

It is suitable for buses, coaches, school buses, subways, trains and other vehicle scenarios demanding passenger flow statistics.