Interoperability, Safety and Security in IoT. Third International Conference, InterIoT 2017, and Fourth International Conference, SaSeIot 2017, Valencia, Spain, November 6-7, 2017, Proceedings

Research Article

Smart Wearable System for Safety-Related Industrial IoT Applications

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  • @INPROCEEDINGS{10.1007/978-3-319-93797-7_17,
        author={Ali Hayek and Samer Telawi and Johannes Klos and Josef B\o{}rcs\o{}k and Roy Abi Zeid Daou},
        title={Smart Wearable System for Safety-Related Industrial IoT Applications},
        proceedings={Interoperability, Safety and Security in IoT. Third International Conference, InterIoT 2017, and Fourth International Conference, SaSeIot 2017, Valencia, Spain, November 6-7, 2017, Proceedings},
        proceedings_a={INTERIOT \& SASEIOT},
        year={2018},
        month={7},
        keywords={Industrial Internet-of-Things Safety systems Motion detection Smart wearables},
        doi={10.1007/978-3-319-93797-7_17}
    }
    
  • Ali Hayek
    Samer Telawi
    Johannes Klos
    Josef Börcsök
    Roy Abi Zeid Daou
    Year: 2018
    Smart Wearable System for Safety-Related Industrial IoT Applications
    INTERIOT & SASEIOT
    Springer
    DOI: 10.1007/978-3-319-93797-7_17
Ali Hayek1,*, Samer Telawi,*, Johannes Klos,*, Josef Börcsök,*, Roy Abi Zeid Daou2,*
  • 1: University of Kassel
  • 2: Lebanese German University
*Contact email: ali.hayek@uni-kassel.de, samer.telawi@uni-kassel.de, johannes.klos@uni-kassel.de, j.boercsoek@uni-kassel.de, r.abizeiddaou@lgu.edu.lb

Abstract

The Industrial Internet of Things enables the realization of modular, flexible and efficient production processes. Machines and production plants are networked over various communication channels and organize themselves in an intelligent way to create products tailored to the customer’s specific needs. Highly networked system structures will evolve including the interference of humans as well as of machines. Apart from security, functional safety plays an increasingly important role in the networking of humans and machines. Especially in environments where humans interact with dangerous systems or moving in the same area as autonomous driving robots, it is very important to provide a maximum of safety. In this paper, a system solution is introduced, which detects the movement of persons, prevents collisions between autonomous driving machines and humans, and decreases the probability of potential hazards in the interaction between humans and machines, while the movement of all participants should not be restricted.