Mango Sorting Mechanical System Combines Image Processing

The work of sorting and packing commercial mangoes requires a lot of labor and the methods used by farmers and distributors to classify commercial mangoes are through traditional quality inspection using the eye. Time-consuming and less efficient or some non-specialized machines and results in low productivity, high costs, sorting out different types of mangoes is relatively costly. The use of a smart mango classification system requires high response speed and equipment stability to reduce production costs, reduce labor costs, and increase the automation level of production lines. Mango with the advantage of high stability and unlimited working time. Researching techniques of image processing, collecting and building a database of images of a number of mango fruits in Vietnam; studying the approaches and techniques for assessing the quality of mango fruit, checking the surface of mango fruit with deep, wilted, spongy, deformed mangoes, ripening on mango fruit. Mango classification system using image processing combined with artificial intelligence including using CCD camera, C programming language, computer vision and artificial neural network in the problem of classifying mango fruit or not qualified.And above all, the main goal is to design and manufacture the control system of mango classification system based on image processing technology, computer vision combined with artificial intelligence with high productivity, compact, easy to use, easy to classify mangoes and can classify other agricultural products in Vietnam and the world.