Smart Engineered Big Sister

标题：智能工程大姐（SEBS）文本：Zircon已经参与机器学习（ML）研究超过5年。特别是，许多研究都使用了视频分析。经过6个月的成功试验，之前的一个名为“站台列车接口（PTI） Cam”的研究项目被安装在伦敦地铁维多利亚站。PTI Cam检测乘客从站台到轨道的互动和入侵。PTI Cam是构建SEBS解决方案的基础。PTI Cam进行了成功的演示。锆石在这次竞赛中采用了同样的方法，并将其应用于概述的场景，特别是：闲逛；异常行为和事件；人群趋势分析；不属于站点升级工作的威胁检测和废弃对象。以PTI Cam为基础，Zircon打算将现有的现成ML检测技术与定制的分析平台集成在一起，以提供满足站控制中心需求的自动监测和警报系统。锆石将利用现有的闭路电视基础设施，因此部署我们的解决方案不会产生重大成本。

Title: Smart Engineered Big Sister (SEBS)Text: Zircon has been involved in Machine Learning (ML) research for over 5 years. In particular much of the research has utilised Video Analytics. After a successful 6 month trial a previous research project, called Platform Train Interface (PTI) Cam, was installed at London Undergound Victoria station. PTI Cam detected passenger interaction and intrusion from platform to the track. PTI Cam forms the basis upon which the SEBS solution can be built. PTI Cam delivered a successful demonstration. Zircon are taking the same approach in this competition and applying it to the scenarios outlined, notably: Loitering; unusual behaviours and incidents; crowd trend analysis; threat detection and abandoned objects that are not part of station upgrade work.Using PTI Cam as a foundation, Zircon intends to integrate existing individual off the shelf ML detection technologies with a bespoke analysis platform to deliver an automated monitoring and alerting system that meets station control centre needs. Zircon will be utilising existing CCTV Infrastructure and as a result there will be no significant roll out cost to deploy our solution.