Design and Development of the Vision Sorting System

Abstract

Sorting is one of the important tasks in production line and it has an appreciable effect to the homogeneous of products. Using vision system to increase productivity in automatic sorting system interests a large of researchers. In this paper, we recommend a vision sorting system based on computer that can identify the position and properties of fruits. The sorting system uses the high resolution camera placed on the top of the mechanical conveyor belt. With the images captured by the camera, the software will perform the algorithms to identify the characteristics of the object (ei. tomatoes, passion fruits) to sort and give the location of sorted objects to database, the data of objects can be used by pick and place process that synchronize with controller of the actuators. The sorting process comprising the steps of: detecting the object, determine the object properties as color, size, shape,..., locate the sorted object, calculate the actual gripping position, the results of the sorting process will be stored and converted into signals to communicate with the control system of actuators to perform the sorting tasks. The algorithms will be experimented on tomatoes and passion fruits, results will be analyzed and evaluated to calculate the stable of the vision system, so that the productivity and accurate efficiency is appropriate.