Augmented Reality for the Maintenance of Rail Infrastructure

该项目旨在使用智能手机上的人工智能和状态监控传感器来提高铁路行业资产管理的速度和质量。我们的创新是开发用于分析铁路基础设施的增强现实工具。系统的AI组件识别资产的子组件，并从云服务中调用维护程序。然后，增强现实解决方案引导用户完成维护过程，包括使用安装在智能手机上的传感器进行定量视觉检查。所提出的方法减少了对资产状况的人工检查，并提供了一种经济高效的解决方案来管理和维护整个铁路网的资产。

The project aims to improve the speed and quality of asset management in the rail industry using AI and condition monitoring sensors attached to a smartphone.Our innovation is the development of an augmented reality tool for the analysis of rail infrastructure. The AI component of the system recognises the subassembly of the asset and recalls the maintenance procedure from a cloud service. The augmented reality solution then leads the user through the maintenance process, including quantitative visual inspection using sensors attached to the smartphone.The proposed method reduces manual inspection of assets for condition and provides a cost-effective solution to manage and maintain assets across the rail network.