  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.
