MACHINE VISION FOR BEARING ORIENTATION DETECTION
Author(s):
Punitha S N, Rajath R Navalgi, Raksha A, Vijay Kumar N, Mala Sinnoor
Keywords:
Computer Vision, Industrial Automation, YOLO, Image Processing, Bearing.
Abstract
Software for object detection is a low-cost, highly accurate measurement method that is frequently used in assembly lines. Production facilities are prepared to access big production numbers without faults thanks to these systems' provision of control and balance without touch. The camera may be used to do computer vision tasks like size measuring, error control, and product computation. This paper suggests a computer vision application that could find a distinct object. The suggested approach allows for automatic calculation regardless of product type or color and is based on Binary thresholding and Hough transformation. In essence, the system uses a single camera to capture photos of the objects moving through the conveyor. These images are then processed using a variety of image processing methods, such as image thresholding to apply filters and Hough circle transform to identify circles. In this manner, a real-time computer vision program was developed to determine the shape and orientation of the Industrial Bearing. The main aim of this proposed system is to minimize the use of sensors in the CNC manufacturing industry.
Article Details
Unique Paper ID: 156025

Publication Volume & Issue: Volume 9, Issue 2

Page(s): 609 - 613
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers