Robotic Arm with Robotic Vision for Automated Material Handling Operations

Image processing has become increasingly important in today’s world, as it opens up possibilities for a wide range of applications in various technological fields. This paper presents a color and shape sorting system that utilizes image processing techniques. The system involves capturing images of objects using a camera and processing them in MATLAB to identify their color and shape for sorting purposes. The sorting process is based on a functional methodology that includes an operative selection process, where objects are detected and classified using a decision-making algorithm and selected in real time with the assistance of an automated material handling system. Once detected, the object undergoes predefined actions. These actions are simulated by signals sent from a microcontroller to servo motors, which are assembled in a specific configuration to form an arm-like structure for carrying out appropriate operations. After completing the operation, the system returns to its original position, ensuring a continuous flow of results with high speed and accuracy.