ANALYSIS OF MACHINE VISION USING DEEP LEARNING

One of the important characteristics of fruits is its appearance. Appearance not only influences their value, the preferences and also the choice of the patron, but also their internal quality to a particular extent. Colour, texture, size, shape, similarly the visual flaws are generally examined to assess the skin quality of object. Manually controlling external internal control of object is time consuming and labour intensive. Thus for automatic external internal control of objects, computer vision systems are widely utilized by intensive beat decades. The employment of machine and computer vision technology within the field of external quality inspection of object has been published supported studies carried on spatial image and / or spectral image processing and analysis. A close overview of the method of fruit classification and grading has been presented during this paper. Detail examination of every step is completed. Some extraction methods the common features of objects like colour, size, shape and texture. Machine learning algorithms like Convolutional Neural Networks (CNN) also is discussed. Process, advantages, disadvantages, challenges occurring in object-classification and grading is discussed during this paper, which might give direction to researchers.