A novel platform to enable the future human-centered factory

نویسندگان

چکیده

Abstract This paper introduces a web-platform system that performs semi-automatic compute of several risk indexes, based on the considered evaluation method (e.g., RULA—Rapid Upper Limb Assessment, REBA—Rapid Entire Body OCRA—OCcupational Repetitive Action) to support ergonomics estimation, and provides augmented analytics proactively improve ergonomic monitoring characteristics workers age, gender), working tasks, environment. It implements body detection system, marker-less low cost, use RGB cameras, which exploits open-source deep learning model CMU (Carnegie Mellon University), from tf-pose-estimation project, assuring worker privacy data protection, has been already successfully assessed in standard laboratory conditions. The full description proposed platform reports results validation real industrial case study regarding washing machine assembly line composed by 5 workstations. A total 15 have involved. Results suggest how is able significantly speed up assessment predict angles perform RULA OCRA analysis, with an accuracy comparable obtainable manual even under unpredictable conditions can be found

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ژورنال

عنوان ژورنال: The International Journal of Advanced Manufacturing Technology

سال: 2022

ISSN: ['1433-3015', '0268-3768']

DOI: https://doi.org/10.1007/s00170-022-09880-z