Automated Process of Fruit Recognition Using Computer Vision

Abstract

The capability of a machine in order to identify the quality of fruit is an essential part in the food industry. This has resulted due to the fact of people being conscious of the health factors and the quality of fruits they intake. However, there are multiple types and categories of fruits available in the market and identifying each category of them is a tedious task. Therefore, it is necessary to comprehend the forms of fruits and classify them so that they don’t deteriorate over time. This is the primary reason for the contribution of the author of the proposed research to identify the respective domain and classify the accordance of fruits with respect to its existential quality. For the above-mentioned reasons; the author uses a detections method that is responsible to detect the texture of the fruit along with its color and shape and further use techniques of image processing to recognize the respective fruit. In addition to this, the author also uses techniques of computer vision wherein various process of image segmentation is carried out using MATLAB as the implementation portal. The research is further capable to classify and implement the project in real time wherein the process of image segmentation is carried out using feature extraction and recognition techniques. However, the implementation of the research occurs in stages wherein the raw image is initially converted from RGB to greyscale and further processing image illumination is carried out. Finally, the algorithms of support vector machine (SVM) and KNN is used as the classifier to detect and recognize the respective fruit.