The fourth industrial revolution or Industry 4.0 is enabling manufacturers to explore the field of automation which consists of integrated systems with robots, machines, and vision systems. Vision systems are used for inspection tasks, quality monitoring, and vision-guided robotic applications. Vision systems are used on manufacturing lines in robot cells which plays a key role in the development of automatization of industries.

GKN Aerospace is a company that manufactures aerospace components which include jet engines. The research facility at Innovatum, Trollhattan contains a robotic cell that includes a vision system. This thesis work aims to perform a visual inspection of the robot cell using a machine vision system. This includes the detection and identification of parts and objects present in the robot cell. The research performed during the thesis work is aimed at constantly finding an optimal solution to the problem.

The thesis work is carried out with an ABB camera and an ABB IRB6700 industrial robot for the detection and identification of the objects presented in the cell. The image is processed using the Integrated Vision toolbox available in ABB RobotStudio software. Different tools were tested for building an effective system. From the various tools tested the more efficient and faster routine is chosen and tested. A theoretical study is made on 2D/3D vision systems, acquisition methods, and camera placement from websites, scientific journals, and papers. The result comprises all the work done in the project. The simulation consists of picking up the objects that are presented in the robot cell from a suitable height where the complete module is visible.