Worker Ergonomics Surveillance in Industrial Environments Based on Parallel Computing on Face Camera Using OpenCV and CUDA

DOI

10.2991/icoemis-19.2019.18How to use a DOI?

Keywords

Worker Ergonomics Surveillance, Industrial Environment, Parallel Computing, Face Camera, OpenCV, CUDA.

Abstract

Modern applications today have used automation contexts to adjust application behavior to the received context, especially in industrial environment. This can highly increase the user experience of ergonomic comfort, safety, and health of workers. This context can be concluded by a program using variety of sensors possessed by a device. For example, using GPS to get a location so that it can provide recommendations for places that can be visited according to user interests or using voice to give orders to a program. One context that is still rarely used is the context of the distance between the face of a worker and the computer screen he uses. This context is one of the very important contexts in the field of workers’ health considering the number of device users who experience health problems due to not paying attention to the distance between the eyes and the screen of the device used. Therefore, the system we created is able to detect the distance between the face and the screen of the device by measuring the distance between the worker’s eyes using the front camera installed on the device used. Thus, when the distance of the face and screen is too close, the program can give a warning to workers to keep the distance between the face and the screen of the device for the health of the workers themselves.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Imam Cholissodin
AU  - I Made Setia Baruna
AU  - M. Ananta Pratama
AU  - Dwi Rama Malawat
AU  - Dewi Hardiningtyas
PY  - 2019/11
DA  - 2019/11
TI  - Worker Ergonomics Surveillance in Industrial Environments Based on Parallel Computing on Face Camera Using OpenCV and CUDA
BT  - Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019)
PB  - Atlantis Press
SP  - 126
EP  - 130
SN  - 1951-6851
UR  - https://doi.org/10.2991/icoemis-19.2019.18
DO  - 10.2991/icoemis-19.2019.18
ID  - Cholissodin2019/11
ER  -