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Rail Lone Worker Safety Solution with Deep Learning
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AI
DOI：10.1109/PerComWorkshops53856.2022.9767482.png)
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Abstract
En 中文
The European Framework Directive on Safety and Health at Work sets requirements that companies must provide adequate supervision and protection to protect workers' health and safety. A watch-based solution has been designed and prototyped specifically for lone worker safety protection in the rail industry, characterized by a harsh working environment. The prototype integrated edge-based Artificial Intelligence accident detection, rule-based management functions for automatic & manual safety alert and for battery energy consumption, as well as worker support functions. An event-driven messaging function has been developed for transmission of detected incident data between the worker and the remote assistance team, in addition to voice communications. This event-driven message has been inspired by European Standards on Cooperative Intelligent Transport System. The developed prototype has been tested in a lab environment with promising results. Real on-site testing with lone worker is currently ongoing.
Keywords:
lone worker safety
ethnographic study
smart watch
SOS
AI
fall detection
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