Author : Amey Dunakhe 1
Date of Publication :19th August 2021
Abstract: In manufacturing industries, there is a need of sorting objects. Manual sorting is a tedious, time-consuming, slow and non-consistent task and requires skilled labor. Whereas, automated systems are time-efficient, fast and reliable in terms of sorting. The objects may be of the same color or different. The system would be able to detect the objects and then differentiate each object based on its color. Objects may have different colors. Thus, different objects and different parameters require different type of processing. Our aim is to classify objects using image processing algorithms based on the parameter of color. The input for the system will be an image and then it will be processed for detecting the color, and accordingly the products will be further sorted using embedded algorithms. PLC will be the main controlling unit of the system. Thus, our designed automated system will be able to sort products based on their colors.
Reference :
-
- Sorting of items on a moving conveyor belt. Part 2: Performance evaluation and optimization of pickand-place operations April 2000
- Robotics and Computer-integrated manufacturing DOI:10.1016/S0736-5845(99)00041-1 By: M. Divona Wolf
- Automatic Color Sorting Machine Using TCS230 Color Sensor And PIC Microcontroller. Author(s): Kunhimohammed C. K, MuhammedSaifu deenK. K, Sahna S, Gokul M. S and ShaeezUsman Abdulla
- Model design and simulation of automatic sorting ma-chine using proximity sensor Author links open overlay panelBankoleI.OladapoaV.A.BalogunaA.O.M.AdeoyeaC. O.IjagbemibAfolabiS.OluwoleaI.A.DaniyanaA.EsosoAghoraAsantaP.S imeona.