基于计算机视觉技术的轨道交通PIS系统设计与实现

Design and implementation of rail transit PIS system based on computer vision technology

随着城市交通的快速发展,乘客信息系统(PIS)在提升乘客出行体验、提高交通运行效率方面扮演着重要角色。文章选择计算机视觉技术作为关键实现手段,旨在通过目标检测、图像识别等算法,实现对轨道交通场景中车辆、站点等要素的准确捕捉与识别。在系统架构方面,通过结合硬件与软件组件,建立了高效、实用的PIS系统。依托大量实验,详细评估了系统性能,包括准确性、实时性和可扩展性。文章不仅关注系统的设计与优化,更聚焦其在实际轨道交通中的应用效果。

With the rapid development of urban transportation,PIS system plays an important role in enhancing passenger travel experience and improving traffic operation efficiency.In this paper,computer vision technology is chosen as the key realization method,aiming to achieve accurate capture and recognition of vehicles,stations and other elements in the rail transit scene through target detection,image recognition and other algorithms.In the aspect of system architecture,an efficient and practical PIS system is established by combining hardware and software components.Based on a large number of experiments,the system performance is evaluated in detail,including accuracy,real-time and scalability.This paper not only focuses on the design and optimization of the system,but also focuses on its application in the actual rail transit.