AIVA development to enhance Network Rail experience for passengers and staff

AIVA 开发旨在增强乘客和员工的网络铁路体验

• 批准号: 971713
• 金额: $ 15.01万
• 依托单位: IPSOTEK LIMITED
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=971713
• 关键词: AIVA; development; enhance; Network; Rail

Ipsotek specialises in advanced video analytics solutions enhanced through artificial intelligence techniques ("AIVA"). It's technology has been applied to address safety, security and operations requirements in a wide range of commercial verticals, and particularly in airports where it has significant deployments. Ipsotek intends to apply its technology to provide bespoke solutions for the UK rail industry by developing a suite of capabilities that address immediate challenges and support long term growth plans. Safety and security challenges will be addressed with the application of Video Analytics (VA) and Artificial Intelligence (AI) technology to accurately detect and identify each threatening behaviour or safety risk demonstrated by individuals or crowds at the station. Here specific AI networks will be deployed that are trained to detect people and other objects in crowded scenes, estimate crowd density and generate density heatmaps. These networks will be further trained on Network Rail specific camera footage to improve their performance and make their experience specific to the rail CCTV environment. Furthermore, specific VA algorithms will be customised to raise events when behaviours of interest have been observed. Ipsotek will fully utilise its patented Scenario Based Rule Engine to create precise and detailed scenarios of interest that will address immediate requirements while providing the flexibility to adapt as the behaviours evolve and requirements progress. Additionally, on a continuous basis the system is able to generate data based on scene conditions that will enable crowding and other trends to be identified, as well as generate real time alarms for predefined safety and security threats detected. The developed solutions will be deployed and demonstrated in a live station environment on live feeds from the station CCTV network with live events and reports provided to station staff and managers.Throughout the project, Ipsotek will demonstrate the feasibility of adopting the solutions developed on a large scale with minimum reconfiguration or redesign by relying on its mature underlying video analytics platform that provides advance scene recognition, segmentation and calibration capabilities. Ipsotek aims to provide a system that will assist rail managers to reach informed decisions related to station and passenger management, enhance security and safety by heightening situational awareness and improve the overall rail journey of commuters.

Ipsotek专注于通过人工智能技术（“AIVA”）增强的高级视频分析解决方案。它的技术已被应用于解决各种商业垂直领域的安全、安保和运营要求，特别是在有大量部署的机场。Ipsotek打算通过开发一套解决当前挑战和支持长期增长计划的能力，应用其技术为英国铁路行业提供定制解决方案。安全和安保挑战将通过视频分析（VA）和人工智能（AI）技术的应用来解决，以准确检测和识别车站个人或人群表现出的每种威胁行为或安全风险。在这里，将部署特定的人工智能网络，这些网络经过训练，可以在拥挤的场景中检测人和其他物体，估计人群密度并生成密度热图。这些网络将进一步接受铁路网特定摄像机镜头的培训，以提高其性能，并使其体验特定于铁路闭路电视环境。此外，将定制特定的VA算法，以便在观察到感兴趣的行为时引发事件。Ipsotek将充分利用其专利的基于场景的规则引擎来创建精确和详细的感兴趣的场景，这些场景将满足即时需求，同时提供灵活性，以适应行为的发展和需求的进展。此外，该系统能够根据现场情况连续生成数据，从而识别拥挤和其他趋势，并为检测到的预定义安全和安保威胁生成实时警报。开发的解决方案将在车站的现场环境中进行部署和演示，通过车站CCTV网络的实时馈送，向车站的工作人员和管理人员提供现场事件和报告。在整个项目中，Ipsotek将展示采用大规模开发的解决方案的可行性，依靠其成熟的底层视频分析平台，提供先进的场景识别、分割和校准功能，从而减少重新配置或重新设计。Ipsotek的目标是提供一个系统，帮助铁路管理者做出与车站和乘客管理相关的明智决策，通过提高态势感知来提高安全性，并改善通勤者的整体铁路旅程。