Representação virtual para segurança de espaços através de detecção de objetos, pessoas e suas relações

Abstract

The detection of risk situations is something that has been improved every year. This work presents the prototype of a system for monitoring the risk of accidents in industrial environments based on tracking objects and people using computer vision. In this work, visualization tools are used in virtual environments to detect collisions, verifying when a large object is close to colliding with people. The central idea is to make a spatialanalysis of a tractor, or some object similar to this type of vehicle, and of the people who transit in that place. Through this, it is possible to create visualization methods so that the end user, whether a work safety inspector or an industry 4.0 system, can understand what is happening in the surroundings of the place and the relationships between objects. In addition to viewing distances, the prototype allows changing the distances considered safe between objects and people, making it possible to also test different types of tool configuration.