SBRI: innovation in rail security surveillance analytics, phase 1

SeeQuestor是一家在视频人工智能领域领先的英国中小企业，拥有提供创新和获奖产品的记录，将实现其“智能CCTV （iCCTV）”的愿景。先进的分析平台将通过SeeQuestor的元数据引擎对录制的视频流进行处理，使数据能够立即搜索，同时将感兴趣的事件呈现给网络铁路观众（就像实时的一样）。主要功能将包括：威胁检测（例如枪支，刀具，丢弃的袋子）；行为分析（徘徊、跑动、异常活动）；人群分析;即时定位感兴趣的人&更多。该演示器旨在促进快速事件响应，并提前预测可能影响公共安全的事件。利用尽可能多的网络铁路摄像机基础设施，并设计为易于扩展，包括非常大的摄像机网络。iCCTV将通过提供数百个摄像机的快速、智能和同步监控，提高铁路网闭路电视操作员的技能，这是任何人都无法做到的。因此，通过将操作员的注意力集中在最有效的地方，从而极大地提高监控覆盖范围，通过主动检查和识别感兴趣的人员和行为以及接收相关的保障信息（人员安全的关键）来缩短响应时间，并改善乘客服务和体验。SeeQuestor今天能够演示其中的一些功能，但是，正在申请资金来进一步开发，改进和生产其算法，并建立一个强大的软件演示平台。

SeeQuestor - a leading UK SME in the field of video artificial intelligence with a track record of delivering innovative & award winning products - will deliver its vision for "Intelligent CCTV (iCCTV)". The advanced analytics platform will take recorded video streams and process them through SeeQuestor's metadata engine, making that data instantly searchable, whilst presenting events of interest to Network Rail viewers (as if in real time). Key features will include: threat detection (e.g. guns, knives, abandoned bags); behavioural analysis (loitering, running, abnornal activity); crowd analysis; instantly locating persons of interest & more. The demonstrator is designed to facilitate rapid incident response as well as to predict events that might impact public safety ahead of time. Leveraging as much of the Network Rail camera infrastructure as possible and designed to be easily scalable, including for very large camera networks. iCCTV will enhance the skills of Network Rail CCTV operators, by providing rapid, intelligent and simultaneous monitoring of live feeds from hundreds of cameras, something outside the capabilities of any human. Thereby vastly improving monitoring coverage by focusing operator’s attention to where it is most effective, improving response times through proactively checking & identifying persons of interest and behaviour and the receiving of associated safeguarding information, key to the safety of personnel, as well as improve passenger service and experience. SeeQuestor is able to demonstrate some of these functionalities today, however, is applying for funding to further develop, refine & productise its algorithms and to build a robust software demonstrator platform.