Research on the Application of Visual Technology in Sorting Packaging Boxes

In order to improve the efficiency of enterprises in the sorting task of packaging boxes and reduce the labor intensity of workers, a fast and efficient detection method based on image processing is proposed in this study. This research mainly involves pose estimation of the packaging box, as well as solving the transformation relationship from the pose of the packaging box in the camera coordinate system to the base coordinate system of the manipulator. SIFT method is used to obtain packaging feature points, FLANN method is used for feature point matching, and EPnP method is used to solve the pose of the box. This study uses nine-point calibration method to solve the transformation relationship between the base coordinate system of manipulator and camera coordinate system. It can be seen from the test results that the method used in this study has achieved satisfactory results by weighing the two indicators of detection accuracy and speed.

Automated summary

This study proposes a fast and efficient detection method based on image processing to improve the efficiency of packaging box sorting and reduce labor intensity. It involves pose estimation and transformation relationship solving from camera coordinate system to manipulator's base coordinate system. SIFT method is used for packaging feature points, FLANN method for matching, and EPnP method for pose solving. The nine-point calibration method is used to solve the transformation relationship. The test results show that the method achieves satisfactory results by weighing detection accuracy and speed.