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

用于安保、安全、施工和维护的自动语义场景内容提取

• 批准号: 10063636
• 金额: $ 2.92万
• 依托单位: ARALIA SYSTEMS LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10063636
• 关键词: Automated; semantic; scene; content; extraction

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.

该项目带来了现有的 Aralia IPR，旨在响应基础设施、城市、交通系统中的应用，这些应用受益于视频图像的自动分析。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，由语义数据库支持，该数据库使用适合铁路行业问题空间的词典。该项目的目标是提供一种低成本、便携式场景分析系统，用于解决监视、安全、施工和资产管理中的用例。