Computer Vision Based Fruit Detection and Sorting System

This paper presents a computer vision based system for automatic detection and sorting of fruits. Detection is important because it is fully automated system, sometimes input to system may be other than fruit which is having same color and size as that of particular fruit. In this work we are capturing two images to make our system more accurate and cover maximum area of fruit. Image analysis is done on both captured images and raspberry pi will take decision to which class fruit will be sorted. Sorting is categorized into four classes. A single motor is used to rotate four baskets. After decision is taken by raspberry pi motor will rotate at particular angle for sorting of fruit.