Volume 20 No 9 (2022)
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INDUSTRIAL AUTOMATION USING IOT WITH IMAGE PROCERSSING
Dr. Rutuja Deshmukh, Dr. D. G. Khairnar
Abstract
Normally, sorting of the objects is done by manually. It consists of 4 integrated stations called distribution, testing, processing and handling. Old sorting method uses a set of inductive, capacitive and optical sensors do differentiate object color in the testing station. Handling is done by using a programmed manipulator. No vision capability exists in the system to improve its performance and flexibility. In this case, there is a possibility of minor error which will affect the accuracy in sorting. Also for huge systems, time and manpower required will very high. Automated systems can be used to remove such human errors and also it saves time and money. To upgrade this process, images captured by the webcam can be processed with image processing techniques using software like MATLAB. This image processing technique and color detection techniques are applied for the taken image and the appropriate output is obtained in this project.
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