Diseño e implementación de un sistema autónomo basado en visión artificial para la evaluación ergonómica de posturas aplicando el método RULA.

Abstract

This work is the implementation of an application for the ergonomic risk assessment at placework using artificial vision based the Rapid Upper Limb Assessment (RULA) method to optimize time during experimentation. With this method, it was featured using LabVIEW graphical programming language. The Kinect for Windows V2 was chosen, since it met the project requirements and needs. Not only does it have active illumination based depth sensor, but it also provides access to data that are represented by a simple structure making easy the algorithm development. Its purpose is to decrease the assessment periods considerably. Besides, it has the advantage of monitoring workers exposed to ergonomic risks due to poor working postures and repeated movements in real time. The software has a less variability in the score gotten by algorithms against analysts with traditional methods. It is concluded that the implementation of this artificial vision based application to assess ergonomic risks shows more efficiency related to time and accuracy factors, and it is developed under a testing environment which provides information to get reliable and accurate algorithms. It is recommend that this application provide a basis to improve the artificial vision based ergonomic studies.