Generalised Automated Welding Machine Using Deep Learning

Abstract

The welding process is one of the most important manufacturing processes in the world. However, the process of welding is typically a manual process that requires a skilled worker to operate the equipment. This results in high labour costs and can lead to inconsistent quality in the welding process. To address these issues, we have developed an automated welding machine that can weld two pieces of metal together without the need for a human operator. The machine is designed using hardware like a 3D printer, and it operates by following a path determined by an image processing machine using an image of the machine bed from the camera. The welding process is controlled by a microcontroller, which operates the motors to move the axis and ensures the welding is done precisely and consistently. The machine will be able to weld a variety of metals, including steel, aluminium, and copper. The benefits of the automated welding machine are clear. It reduces labour costs and improves the quality and consistency of the welding process. It also allows for greater flexibility in the manufacturing process, as it can be used to weld a variety of metal parts. Our project demonstrates the potential of automated manufacturing processes in improving the efficiency and quality of industrial processes. We believe that our automated welding machine has the potential to revolutionize the welding industry and open new opportunities for manufacturers in a variety of industries.