Development of Automatic Vision Gripper for Electronic Circuit Board Production

Abstract

This research presents an analysis and evaluation of the manipulator arm together with the automatic vision operation of vision for using in precise picking of work pieces and reducing the sheet damage. Electronic circuit board caused by the robot arm picking the workpiece in the wrong position which is the picking of the work that has high temperature from the electronic circuit board production process. The work piece will lock the electronic device to prevent it from moving to its original position. Before entering the process of solidifying the lead on the electronic board, from the accuracy test of the workpiece pick the developed robot arm that is able to pick up the work piece of 1.5x18 cm, use the 50 mm lens camera, 5 megapixel resolution, precisely the maximum error is 0.11%. The result of evaluating and analyzing various information and the test results will be used as a reference for the design of the robot arm to hold the work piece with better quality. This allows designers to find the design faults and use raw materials for production. This will make the robot arms, analyzed and designed to be more efficient, can reduce the damage of electronic boards caused by the workpiece grips, increase productivity and reduce working time as targeted. In addition, the result can also be used in the design of a robotic arm to capture automated workpieces for future electronic board production processes.