An Industrial Workplace Alerting and Monitoring Platform to Prevent Workplace Injury and Accidents
Sanjay Adhikesaven

TL;DR
This paper introduces an industrial workplace monitoring platform that detects PPE use and unsafe activities over time, combining pose estimation with PPE detection, and provides an open dataset for research.
Contribution
It presents the first system to analyze prolonged group activities involving multiple people and objects, integrating pose estimation with PPE detection, and offers an open annotated dataset.
Findings
Effective detection of PPE and unsafe activities in industrial settings
First open source dataset with annotated industrial workplace videos
System can be integrated with existing surveillance cameras
Abstract
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…
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Taxonomy
TopicsOccupational Health and Safety Research · Sleep and Work-Related Fatigue · Gait Recognition and Analysis
