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