Abstract
Industry 4.0 is decisive in implementing great value technology that can correctly determine incorrect positions in industrial processes workers that frequently require specialized attention. In the present investigation, we developed an application for mobile devices that identifies possible future accidents when determining incorrect actions from a set of steps to assemble a harness. This proposal is an intelligent system that can monitor inadequate and inaccurate movement and specify a better form of preventive action through a preliminary analysis of the person’s ergonomic activities performing the tasks. It uses virtualization of the environment to work through depth cameras (Kinect Azure) and is represented in a Unity environment by an avatar that simulates people’s movements.
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Castellanos, H.G., Varela, J.A.E., Zezzatti, A.O. (2021). Mobile Device Application to Detect Dangerous Movements in Industrial Processes Through Intelligence Trough Ergonomic Analysis Using Virtual Reality. In: Hassanien, A.E., et al. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021). AICV 2021. Advances in Intelligent Systems and Computing, vol 1377. Springer, Cham. https://doi.org/10.1007/978-3-030-76346-6_19
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