Classification of Vegetables using TensorFlow

Om Patil
2018 International Journal for Research in Applied Science and Engineering Technology  
Recognition is one of the main areas in computer vision, it yields high-level understanding by computers, one of the most important areas in recognition is object recognition which is the process of finding a specific object in an image or video sequence [16]. This paper is purposing the glimpse of the recognition of a particular vegetable [17] . This is being implemented on the TensorFlow platform, which is making use of OpenCV as the main library database. TensorFlow [20] algorithm uses
more » ... as its basic unit of information. Firstly the given frame is converted into an image and differentiated into cubical parts from which the features are extracted, so to converged it into the data set [3] . Such data sets are encapsulated from every cubical unit, emerged as the whole bunch of values after traversing thoroughly through given frame. Having these values, the certain frame is categorized into one of the sets of images provided, at the conclusion side percentage-wise isolation of objects is done, and here the vegetables are being identified and corresponding action should be executed [6]. Highlighting the uniqueness of usage of this idea, would result into involution of more prominent ways of segregation of vegetables in a food production industry as per the requirement, in the territory wherein the only agriculture holds the backbone of economy [18]. The use of image processing techniques is of outstanding implication for the analysis of agricultural operations [16]. Vegetable and vegetable classification is one of the major applications that can be utilized in the supermarket to automatically detect the kind of the vegetable or vegetable purchased by the customer and to generate the costs for it. A simple android app has been developed to carry out this task [21] [23] [17].
doi:10.22214/ijraset.2018.4488 fatcat:77pbanes6jadbhn5fjyenwcmnm