用增强现实技术辅助高空工地安全检查，自动识别防护网漏洞
AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites
- 头戴式AR设备追踪已检查区域，辅助工人完成高空防护网巡检
- 机器学习自动检测防护网缺口，识别率超90%（需原文确认）
- 兼顾隐私保护，适合建筑安全员与工程管理者参考
结合行业专家意见，我们探索头戴式增强现实技术在高层建筑工地安全巡检中的应用潜力。当前行业关注的重点是高楼层外围防护网的检查，旨在防止人员与物体坠落。本文旨在通过追踪已检查区域，支持工人完成此项任务。利用机器学习自动识别防护网存在的缝隙，以提示需重点检查和修复，并实现自动化报告。本文为进展中工作，阐述了问题背景、初步成果、工人隐私顾虑及潜在缓解方案。
原文摘要 · Abstract (English)
Together with industry experts, we are exploring the potential of head-mounted augmented reality to facilitate safety inspections on high-rise construction sites. A particular concern in the industry is inspecting perimeter safety screens on higher levels of construction sites, intended to prevent falls of people and objects. We aim to support workers performing this inspection task by tracking which parts of the safety screens have been inspected. We use machine learning to automatically detect gaps in the perimeter screens that require closer inspection and remediation and to automate reporting. This work-in-progress paper describes the problem, our early progress, concerns around worker privacy, and the possibilities to mitigate these.
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