论文标题
一个工业工作场所提醒和监视平台，以防止工作场所伤害和事故
An Industrial Workplace Alerting and Monitoring Platform to Prevent Workplace Injury and Accidents
论文作者
论文摘要
工作场所事故是一个关键问题，会导致许多死亡，伤害和经济损失。气候变化对工业工人有严重影响，部分原因是全球变暖引起的。为了减少这种伤亡，重要的是要积极地发现不安全的环境，通过检测个人防护设备（PPE）并确定不安全的活动，可能会造成伤害。因此，我们提出了一个工业工作场所警报和监视平台，以在很长一段时间内检测PPE使用和对涉及多个人类和对象的小组设置中的不安全活动进行分类。我们提出的方法是第一个分析涉及多个人或对象的延长行动的方法。它通过将姿势估计与一个平台中的PPE检测相结合而受益。此外，我们提出了第一个带有动作分类和检测到的PPE的工业工作场所的视频数据的开源注释数据集。拟议的系统可以在工业环境中已经存在的监视摄像机中实施，从而使其成为实用有效的解决方案。
Workplace accidents are a critical problem that causes many deaths, injuries, and financial losses. Climate change has a severe impact on industrial workers, partially caused by global warming. To reduce such casualties, it is important to proactively find unsafe environments where injuries could occur by detecting the use of personal protective equipment (PPE) and identifying unsafe activities. Thus, we propose an industrial workplace alerting and monitoring platform to detect PPE use and classify unsafe activity in group settings involving multiple humans and objects over a long period of time. Our proposed method is the first to analyze prolonged actions involving multiple people or objects. It benefits from combining pose estimation with PPE detection in one platform. Additionally, we propose the first open source annotated data set with video data from industrial workplaces annotated with the action classifications and detected PPE. The proposed system can be implemented within the surveillance cameras already present in industrial settings, making it a practical and effective solution.
