Automatic recognition system for mechanical hand tools using convolutional neural networks
Joint Authors
al-Khatib, Hisham
al-Nuwaini, Ghazi
al-Bassir, Amir
Source
University of Taiz Research Journal : Arts Applied Sciences and Humanities Series
Issue
Vol. 2021, Issue 26 (31 Mar. 2021), pp.1-8, 8 p.
Publisher
Publication Date
2021-03-31
Country of Publication
Yemen
No. of Pages
8
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
the identification of high-precision mechanical tools is an important problem faces mechanical engineers.
Indeed, hundreds of different instruments are typically used for one task.
In several cases and multiple workshop environments each tool will be used.
Mechanical engineering is a practical field that need different mechanical tools during workshop work.
These tools such as Wrench, hammer, toolbox, Gasoline Can, and pebble have different size and style.
During work time of the mechanical engineers, they need these tools frequently and the identification process of these tools is a difficult task for automated system.
In this paper, an automated recognition system for mechanical tools using convolution neural networks.
A CNN-based model is discussed using four versions of residual network classifiers; ResNet-18, ResNet-34, ResNet-50 and ResNet-152.
This model can be integrated with a robot to give it the ability to recognize the specific mechanical tool and deliver it to the mechanical engineer.
The feasibility of this method is illustrated in the achieved results.
The obtained results are very promising to be used in practical use.
In term of testing accuracy, the results achieved 84%, 85%, 86% and 87% for ResNet18, ResNet-34, ResNet-50 and ResNet-152 respectively.
American Psychological Association (APA)
al-Nuwaini, Ghazi& al-Khatib, Hisham& al-Bassir, Amir. 2021. Automatic recognition system for mechanical hand tools using convolutional neural networks. University of Taiz Research Journal : Arts Applied Sciences and Humanities Series،Vol. 2021, no. 26, pp.1-8.
https://search.emarefa.net/detail/BIM-1337531
Modern Language Association (MLA)
al-Nuwaini, Ghazi…[et al.]. Automatic recognition system for mechanical hand tools using convolutional neural networks. University of Taiz Research Journal : Arts Applied Sciences and Humanities Series No. 26 (Mar. 2021), pp.1-8.
https://search.emarefa.net/detail/BIM-1337531
American Medical Association (AMA)
al-Nuwaini, Ghazi& al-Khatib, Hisham& al-Bassir, Amir. Automatic recognition system for mechanical hand tools using convolutional neural networks. University of Taiz Research Journal : Arts Applied Sciences and Humanities Series. 2021. Vol. 2021, no. 26, pp.1-8.
https://search.emarefa.net/detail/BIM-1337531
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 7-8
Record ID
BIM-1337531