Controlling A Robotic Arm Using Handwritten Digit Recognition Software

Ali ÇETİNKAYA; Onur ÖZTÜRK; Ali OKATAN

Article Details

Controlling A Robotic Arm Using Handwritten Digit Recognition Software

Authors:

Ali ÇETİNKAYA | Onur ÖZTÜRK | Ali OKATAN

Publisher:

İstanbul Gelisim University

Main Topics:

Applied physics

Journal:

International Journal of Engineering Technologies IJET 2019 Vol.5 Issue 1, pp.15-23

Document Type:

Article

Publication Date:

3/2019

Document Language:

English

Document ID (Org No.):

2000460894

Frequency:

Monthly

eISSN:

2149-5262

pISSN:

2149-0104

Abstract:

 


Repetitive
tasks in the manufacturing industry is becoming more and more commonplace. The
ability to write down a number set and operate the robot using that number set
could increase the productivity in the manufacturing industry. For this
purpose, our team came up with a robotic application which uses MNIST data set
provided by Tensorflow to employ deep learning to identify handwritten digits. The system
is equipped with a robotic arm, where an electromagnet is placed on top of the
robotic arm. The movement of the robotic arm is triggered via the recognition
of handwritten digits using the MNIST data set. The real time image is captured
via an external webcam. This robot was designed as a prototype to reduce
repetitive tasks conducted by humans. 


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Article Details

Controlling A Robotic Arm Using Handwritten Digit Recognition Software

Authors: Ali ÇETİNKAYA | Onur ÖZTÜRK | Ali OKATAN

Publisher: İstanbul Gelisim University

Main Topics: Applied physics

Journal: International Journal of Engineering Technologies IJET 2019 Vol.5 Issue 1, pp.15-23

Document Type: Article

Publication Date: 3/2019

Document Language: English

Document ID (Org No.): 2000460894

Frequency: Monthly

eISSN: 2149-5262

pISSN: 2149-0104

Issues

Authors:

Ali ÇETİNKAYA | Onur ÖZTÜRK | Ali OKATAN

Publisher:

İstanbul Gelisim University

Main Topics:

Applied physics

Journal:

International Journal of Engineering Technologies IJET 2019 Vol.5 Issue 1, pp.15-23

Document Type:

Article

Publication Date:

3/2019

Document Language:

English

Document ID (Org No.):

2000460894

Frequency:

Monthly

eISSN:

2149-5262

pISSN:

2149-0104