To compensate for the declining labor force caused by the declining birthrates and aging population, there is an increasing demand for factory automation and unmanned operation. Choosing a job in the logistics industry is no exception, and automation is required to improve efficiency. In this research, we develop an image analysis method that uses deep learning and conventional pattern recognition methods to detect and recognize objects from camera images attached to the robot and automatically extract the objects.