Address: 8/F, Building 2E, Fenghao East Road, No.9 Yard, Haidian District, Beijing, P. R. China
Using advanced deep learning algorithms, model training and algorithm optimization are performed based on tens of millions of sample data in real scenarios. Can be applied to indoor or outdoor passages. It can adapt to various scenarios such as high-density passenger flow, too bright or too dark light, and shadows, and eliminates various interference factors such as consignment vehicles. The accuracy of passenger flow statistics is over 99%.
Museums, office buildings, supermarkets, transportation hubs and other places have restrictions on the maximum passenger capacity. Counting the number of people in these establishments usually employs two solutions. The first solution is to use full area coverage, and then add up the statistics of each area to the total number of people. The downside of this approach is the high cost and privacy risks. Another solution is to carry out accurate statistics on the incoming and outgoing passenger flow of all the entrances and exits, and calculate the passenger flow retention from the difference between the two. This solution requires very high accuracy of passenger flow statistics to avoid accumulating errors.
By analyzing the number of people in line and waiting time in key areas such as security check and luggage check, and informing passengers of the results in real time through the LED screen, it can improve the travel experience of passengers and increase their satisfaction. Managers can also take appropriate steps to avoid excessive waiting times.
For passengers in airports and stations, conduct travel route analysis to understand the entire activity process and stay time distribution of passengers in various areas. In this way, managers can be guided to optimize the spatial distribution of service points, adopt more user-friendly guidance signs, and formulate evacuation plans in emergency situations.
Zhengzhou International Airport is a 4F-class international civil airport with an annual passenger throughput of more than 20 million. Vionvison provides a complete passenger flow analysis and visualization solution for the airport. The solution includes:
Vionvision provides various services such as statistics on the number of people entering and leaving the exhibition halls, real-time statistics on the number of people in the exhibition halls, and early warning of the number of visitors exceeding the limit for the major themed exhibition halls in the museum. Through these data services, the following improvements have been brought to customers:
Featuring the patented TrueFlow tag free staff exclusion technology, the G5 sensor can obtain important statistics such as entry rate, dwell time distribution, heatmap, queue management, etc.
Vionvision CBox Ⅲ/Lite can convert non-smart cameras into smart retail sensors with the patented TrueFlow staff exclusion technology.
Cloud-based BI platform for visualization and analysis.