3D 영상 입력장치를 활용한 계측 Measurement using 3D image input device

초록

Recently, with the rapid development of artificial intelligence, the intelligence of robots has also improved rapidly. Automation using robots is becoming an important industrial change in accordance with the trend of decreasing skilled manpower, avoiding harsh and simple labor, and reducing working hours. In order to increase the performance of automation using robots in the assembly process, it is very important to improve the ability to distinguish parts using cameras and artificial intelligence. In this study, we conducted research to improve the learning of part shapes using 3D cameras and Azure deep learning and the classification of robot parts using them. Using the results of this study, it will be possible to promote robot intelligence by improving recognition of parts in the assembly process.