Development of 2-Axis Cartesian Robot with Computer Vision (CRCV) for Material Handling Orientation

Abstract

Nowadays, the automation system is growing rapidly in manufacturing industries. It uses a lot of automated processes to prevent humans from doing dangerous tasks such as handling metal plates during the cutting process. Therefore, to fulfill the industries requirement a cartesian robot with two axis motion that is integrated with the computer vision to provide automated alignment process during the cutting process is proposed in this work. However, this paper only focuses on the software development based on the edge-detection method to provide alignment process for conveyor line robot. The technique uses a camera to capture the current position of the plate and calculate the error that needs to be aligned by the robot. The system will avoid human injury, time wasting and improve the production rate as well. As a result, this method has been proven to provide alignment error values that need to be aligned in terms of x and y axis by using the system accurately. In a nutshell, the uses of this method can easily improve the alignment time to ensure the improvement in production rate of an industry.