Discover how UNX Digital is revolutionizing public transport management with a computer vision solution that provides real-time analysis of passenger flow. By leveraging the existing security camera infrastructure, this solution allows transport operators to better understand the needs of their passengers and offer a more efficient and personalized service.

Hardware: Jetson Xavier NX
Application: Real-time passenger flow analysis in public transport
Industry: Transportation

Background: Understanding the Opportunity

The growth of public transport use in large cities creates a constant challenge to better understand the needs of its passengers. With this premise, the aim is to offer a better service based on the modification of the behavior of both its processes and passengers. In this sense, understanding how passenger flows move between different points to be able to modify both the frequency and the crossing is a priority.

Challenge: Overcoming Transport Management Obstacles

The challenge was to understand the flow of passengers in public transport, a process that traditionally depended on estimates and assumptions. The lack of precise and real-time data made it difficult to plan and efficiently manage transport, which often resulted in insufficient or excessive services.

Solution: Real-Time Passenger Flow Analysis

To address this challenge, UNX Digital implemented a solution that uses computer vision to analyze passenger flow in real time. Using the existing security camera infrastructure, the solution is capable of generating a matrix of use, flow, and permanence of passengers in real time. This allows transport operators to validate processes and obtain real information to execute the necessary changes in processes to provide a better service. As an additional addition, today the demographics of the passengers are known and a differentiated service can be offered to each of them.

Business Impact/Result: Improving Efficiency and Passenger Satisfaction

With the implementation of this solution, the company has been able to significantly improve the efficiency and accuracy of its transport management process. The real-time detection of passenger flows has allowed the company to adjust the frequency and crossing of transport services according to real demand, which has resulted in an improvement in passenger satisfaction and a reduction in operating costs.