A novel approach to control the jointed arm robot by tracking the position of the moving object on a conveyor using an integrated computer vision system
Joint Authors
Thotapalli, Pramod Kumar
Kumar, CH. R. Vikram
Reddy, B. ChandraMohana
Source
Journal of Engineering Research
Issue
Vol. 10, Issue 4 B (31 Dec. 2022), pp.187-198, 12 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2022-12-31
Country of Publication
Kuwait
No. of Pages
12
Main Subjects
Abstract EN
Computer vision algorithms play a vital role in developing self-sustained autonomous systems.
the objective of the present work is to integrate the robotic system with a moving conveyor using a single camera by adopting a gaussian mixture model (GMM) based background subtraction method.
In this work, a simple web camera is placed above the work cell to capture the continuous images of the moving objects on the conveyor along with a jointed arm robot connected to a microcontroller through the computer.
the position of the object with time and its features are extracted from the captured image frames by subtracting its background using the gaussian mixture model (GMM).
the output images of GMM are further processed by image processing techniques to extract the features like shape, color, and center coordinates.
the extracted coordinates of objects of interest are used as input parameters to the controller to activate the base rotation of a joint arm robot to perform different manipulations.
the developed algorithm is evaluated on an indigenously fabricated work cell integrated with a computer vision setup.
American Psychological Association (APA)
Thotapalli, Pramod Kumar& Kumar, CH. R. Vikram& Reddy, B. ChandraMohana. 2022. A novel approach to control the jointed arm robot by tracking the position of the moving object on a conveyor using an integrated computer vision system. Journal of Engineering Research،Vol. 10, no. 4 B, pp.187-198.
https://search.emarefa.net/detail/BIM-1494635
Modern Language Association (MLA)
Thotapalli, Pramod Kumar…[et al.]. A novel approach to control the jointed arm robot by tracking the position of the moving object on a conveyor using an integrated computer vision system. Journal of Engineering Research Vol. 10, no. 4 B (Dec. 2022), pp.187-198.
https://search.emarefa.net/detail/BIM-1494635
American Medical Association (AMA)
Thotapalli, Pramod Kumar& Kumar, CH. R. Vikram& Reddy, B. ChandraMohana. A novel approach to control the jointed arm robot by tracking the position of the moving object on a conveyor using an integrated computer vision system. Journal of Engineering Research. 2022. Vol. 10, no. 4 B, pp.187-198.
https://search.emarefa.net/detail/BIM-1494635
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 198
Record ID
BIM-1494635