Process of Materials Picking Using Augmented Reality

The thesis describes the research conducted on the effectiveness of purposed Augmented Reality solutions for material identification in the production system. The research was carried out at the Smart Factory laboratory of the Poznan University of Technology and was divided into two stages. In the first stage, the research has been conducted to identify both of the best variants of application and the AR smart glasses which were used in second stage. The time of identification and completion of production parts obtained using the AR technique and the traditional technique were compared during the second stage of the research. The results of the second experiment show that the AR method is efficacious for identifying materials in a production system; however, the traditional method time is shorter. This proves that the traditional method is more effective and therefore AR solutions need to be improved.