International Journal of Engineering Research in Electronics and Communication Engineering (IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,August 2017,

Topic : Image Processing Based Defect Detection and Identification Algorithm for Industrial Pipes and Raspberry Pi Based Industrial Process Monitoring

Authors:Aditi Gharge || Varsha Lembhe

Abstract:This paper present an algorithm for detecting and distinguishing certain manufacturing faults that may arise in case of industrial pipes manufacturing. In many of the industries, detection of defect is performed manually by skilled person. The major difficulties of manual o inspection method are lack of visibility, time consuming higher cost, and comparatively less acurte Therefore, this paper plans a new methodology for the automated detection of defect in pipes manufacturing process. Presence of holes and cracks in pipe are an vital indicator in manufacturing process to be cost-effective and avoid environmental damage . Furthermore, the paper give attention on monitoring three major industrial factors like temperature, water level, and light intensity. This system is designed with various sensors and raspberry pi. The design includes interfacing of sensors with PIC controller and LCD display. Thus our system is designed for multiple input and output activities for industrial applications.

Keywords: Defect detection, defect classification, PIC controller, raspberry pi.

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DOI: 01.1617/vol4/iss8/pid36421


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IMPACT FACTOR: 3.689

ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERECE
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