Automation of Fruit Sorting Process Using Conveyor Belt System

Abstract

Abstract: Fruit sorting is an important step in the fruit industry since it ensures that only high-quality fruits are sold. Manual sorting takes time, is labour-intensive, and is prone to human error. The use of a conveyor belt system with machine vision to automate the sorting process can increase the efficiency and accuracy of fruit quality sorting. This study describes the design and execution of a conveyor belt system for sorting fruit quality using machine vision. The approach is intended to sort fruits based on their appearance, such as colour, size, and form. The machine vision system is trained using a collection of photos of variable quality fruits, allowing it to differentiate between high-quality and low-quality fruits. The conveyor belt system is made up of a motor, sensors, and a camera that takes pictures of the fruits as they move along the belt. The machine vision system processes the photos in real time, determining the quality of each fruit and directing it to the right bin. The precision, speed, and efficiency of the system are all measured. The technology looks potential for increasing the efficiency and accuracy of fruit quality sorting in the fruit sector.