Abstract
For accident prevention in the intralogistics sector, a vibrotactile warning system in the form of an electronic-integrated safety vest for the factory worker is presented. A multisensory approach is adopted for better recognition of the detected area. The sensor models used and their interaction in hazard detection are considered. The focus will be on parallel real-time processing in data acquisition, object detection, direction evaluation and hazard detection, as well as an output of the warning to the worker. A prototypical design and possible improvements of the system are summarized in the final section.
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Blümel, K., Kuhl, M. (2023). A Vibrotactile Assistance System for Factory Workers for Accident Detection and Prevention in the Logistics Sector. In: Unger, H., Schaible, M. (eds) Real-time and Autonomous Systems 2022. Real-Time 2022. Lecture Notes in Networks and Systems, vol 674. Springer, Cham. https://doi.org/10.1007/978-3-031-32700-1_7
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DOI: https://doi.org/10.1007/978-3-031-32700-1_7
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