Abstract—The purpose of this study is to present an automatic measurement and classification system using a back-lighting source for a robotic arm with four Degrees of Freedom (DOF), employing machine vision technology. The objects utilized in this study are bolts and nuts, placed randomly within the workspace of the robotic arm. During operation, image data from a Metal-Oxide-Semiconductor (CMOS) camera is transmitted to a personal computer to calculate the geometric parameters of the objects, including shape, angle, and position, which are then sent to the controller of the robotic arm. The robotic arm subsequently picks up the objects from the workspace and places them into target zones. With the proposed system, the world coordinates of components are accurately determined and utilized for the manipulation of the robotic arm. The research results demonstrate that the automatic classification system can detect and identify the shape and orientation of objects correctly. This system proves to be effective and easy to use.

Keywords—robotic arm, automatic optical inspection, image measurement, classification

Cite: Ngoc Vu Ngo and Van Cuong Duong, "Development of an Automatic Measurement and Classification System for a Robotic Arm Using Machine Vision," International Journal of Mechanical Engineering and Robotics Research, Vol. 13, No. 4, pp. 489-494, 2024.

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