Automated semantic scene content extraction for Security, Safety, Construction and Maintenance

该项目引入了现有的Aralia IPR，以响应基础设施、城市、交通系统中受益于视频图像自动分析的应用。该项目结合了高分辨率表面的多光谱和3D重建、基于CNN的对象检测器和场景上下文生成，并由使用适合铁路行业问题空间的词典的语义数据库支持。该项目的目标是提供一个低成本、便携的场景分析系统，以解决监视、安全、建筑和资产管理中的用例。

The project brings existing Aralia IPR developed in response to applications in infrastructure, urban, transportation systems that benefit from the automated analysis of video images.The project combines multispectral and 3D reconstruction of surfaces at high resolution, CNN based object detectors and scene context generation, supported by a semantic database that uses a lexicon appropriate to the rail industry problem space.The objective of the project is to provide a low-cost, portable scene analysis system that addresses use-cases in surveillance, safety, construction, and asset management.