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  Published Paper Details:

  Paper Title

AUTOMATED DETECTION AND SORTING OF MISSING BALLS IN CAGE-TYPE LINEAR BALL BEARINGS USING VISION SENSOR TECHNOLOGY

  Authors

  Rahul Jadhav,  Chetan D Kuthe

  Keywords

Vision Sensor Technology, Automation, Inspection, Measurement Technologies

  Abstract


In the era of the Fourth Industrial Revolution (4IR), automation and intelligent systems are reshaping manufacturing and quality control practices. This project introduces a ground breaking solution--an automated bearing inspection system leveraging advanced technologies and precision engineering principles. At its core, this system employs a comprehensive array of components, including linear motor drives, grippers, vision sensors, and proximity sensors, all orchestrated through meticulous wiring and power circuits. The system's mechanical design optimizes bearing handling and inspection. Its pneumatic and electrical configurations ensure precise control and seamless operation. Furthermore, this system is not confined to bearing inspection; its modular nature allows for versatile applications across industries. Through the fusion of automation, sensing, and precision, this project underscores the transformative potential of automated quality control techniques in the world of industrial automation, offering unparalleled efficiency, reliability, and adaptability.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2311347

  Paper ID - 246216

  Page Number(s) - c968-c978

  Pubished in - Volume 11 | Issue 11 | November 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Rahul Jadhav,  Chetan D Kuthe,   "AUTOMATED DETECTION AND SORTING OF MISSING BALLS IN CAGE-TYPE LINEAR BALL BEARINGS USING VISION SENSOR TECHNOLOGY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 11, pp.c968-c978, November 2023, Available at :http://www.ijcrt.org/papers/IJCRT2311347.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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