Design of intelligent sorting system of parallel robot
                                                                      WU Xuqing, HUANG Jiacai, ZHOU Lei, LIN Jian
                                            （Automation Department, Nanjing Institute of Technology, Nanjing 211167, China）

Abstract: Aiming at the problem of intelligent sorting of complex workpieces in practical production of parallel robots, the configuration, speed and acceleration of parallel robots and speed of conveyor belts was studied. The factors that influence the success rate of the sorting process were summarized. An intelligent sorting system for parallel robots based on vision technology was proposed. The industrial camera was used to capture the image of complex workpiece that moving on the conveyor belt, then the shape and the position of the workpiece was acquired by the image processing technology, and the obtained information of workpiece was passed to the controller. The parallel robots were controlled by the controller to take the workpiece from the conveyor belt and get multiple testing data. The results show that among the priorities affecting the success rate of sorting, the acceleration has a greater impact on the success rate of system sorting, followed by the speed of the robot, and finally the speed of the conveyor belt.

Key words: parallel robot; visual technology; intelligent sorting