CCTV-based passenger density sensing & optimisation

基于闭路电视的乘客密度传感

• 批准号: 10002327
• 金额: $ 47.13万
• 依托单位: DYNAMIC CROWD MEASUREMENT LTD
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10002327
• 关键词: CCTV; based; passenger; density; sensing

CCTV-based passenger density sensing & optimisation uses AI and machine learning to deliver accurate and real-time platform and carriage occupancy insights directly to passengers on platforms. Allowing informed decisions on which train and in which carriage they will travel for a safer more comfortable experience.With significant changes around the world, people are even more conscious of crowded areas and travel on public transport has dropped sharply. The focus of crowd measurement has shifted to maintaining social distance between people and ensuring that there was an effective way for people to measure their progress and success of this endeavour. This project will see accurate information on crowd measurements put into the hands of rail staff to plan safer services and a better experience on transport for all. This project will also provide passengers information on crowding on platforms and in carriages to enable better self-management of the journey and an increased confidence in the rail system. Dynamic Crowd Measurement (DCM) is a crowd tech start up that gives any organisation that needs to manage crowds the detailed information needed for real time decisions that really matter. Its unique Artificial Intelligence engine can analyse crowd position, flow and mood without tracking or personally identifying individuals. The same system that has been successfully implemented in the event and stadium industry will be implemented and customised for rail travel in the UK.DCM is excited to be partnering with Nomad Digital, an intelligent transport specialist, which is part of the Alstom Transportation Group, who focuses on delivering connectivity and digital solutions on trains and platforms to deliver this first of its kind project for UK rail.

基于CCTV的乘客密度感知和优化使用人工智能和机器学习，直接向平台上的乘客提供准确和实时的平台和车厢占用率洞察。让乘客能够在知情的情况下决定乘坐哪趟列车和哪节车厢，以获得更安全、更舒适的体验。随着世界各地发生的重大变化，人们对拥挤区域的意识更加强烈，乘坐公共交通工具的人数急剧下降。人群测量的重点已转移到保持人与人之间的社会距离，并确保人们有一个有效的方法来衡量他们的进展和这一努力的成功。该项目将把人群测量的准确信息交给铁路工作人员，以规划更安全的服务，并为所有人提供更好的交通体验。该项目还将向乘客提供关于站台和车厢拥挤情况的信息，以便更好地自我管理旅程，并增加对铁路系统的信心。动态人群测量（DCM）是一个人群技术初创公司，为任何需要管理人群的组织提供真实的时间决策所需的详细信息。其独特的人工智能引擎可以分析人群位置，流量和情绪，而无需跟踪或亲自识别个人。DCM很高兴能与Nomad Digital合作，Nomad Digital是一家智能交通专家，是阿尔斯通运输集团的一部分，专注于为列车和平台提供连接和数字解决方案，为英国铁路提供首个同类项目。