Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2019, Cilt: 5 Sayı: 2, 59 - 63, 30.06.2019

Öz

Kaynakça

  • E. B. Mathew, D. Khanduja, B. Sapra, B. Bhushan, Robotic arm control through human arm movement detection using potentiometers, International Conference on Recent Developments in Control, Automation and Power Engineering, 2015.
  • B. İşçimen, H. Atasoy, Y. Kutlu, S. Yıldırım, E. Yıldırım, Smart robot arm motion using computer vision, Elektronika Ir Elektrotechnika, ISSN 1392-1215.
  • M. A. Jayaram, H. Fleyeh, Convex hulls in image processing: a scoping review, American Journal of Intelligent Systems, 2016.
  • OpenCV library document, https://opencv.org/
  • Structural Analysis and Shape Descriptors, OpenCV “2.4.13.7 documentation”. https://docs.opencv.org
  • A. Dhawan, A. Bhat, S. Sharma, H. K. Kaura, Automated robot with object recognition and handling features, International Journal of Electronics and Computer Science Engineering, ISSN 2277-1956/V2N3-861-873.
  • Abhishek Chavan, Abhishek Bhuskute, Anmol Jain, Dynamics of robotic arm, International Journal of Computer Applications (0975 – 8887), 2014.
  • C. Manresa, J. Varona, R. Mas, F. J. Perales, ‘‘Hand tracking and gesture recognition for human-computer interaction’’, Electronic Letters on Computer Vision and Image Analysis 5(3):96-104, 2005.
  • P. Xu, A real-time hand gesture recognition and humancomputer interaction system, arXiv:1704.07296v1 [cs.CV] 24 Apr 2017.
  • A. Soetedjo, I.K. Somawirata, A. Irawan, ‘‘Human arm movement detection using low-cost sensors for controlling robotic arm’’, Journal of Telecommunication, Electronic and Computer Engineering, e-ISSN: 2289-8131 Vol. 10 No. 2-3.
  • A. Alam, T. Rana, M. Hashemy, An autonomous detective robotic arm, International Conference on Mechanical, Industrial and Materials Engineering 2017.

Controlling A Robotic Arm Using Hand Recognition Software

Yıl 2019, Cilt: 5 Sayı: 2, 59 - 63, 30.06.2019

Öz

With the increasing need of repetitive tasks in
the manufacturing industry, robotic automation is becoming a necessity. In the
steel industry, workers become less efficient over time, causing interruptions
during assembly. Robotic automation is capable of operating at highest
efficiency therefore increasing productivity in the steel industry. 
The robot will be able to pick up and drop
metallic object with the help of the electromagnet present on the robotic arm.
The handling of the objects will be triggered by the hand gestures from the
user. The image to be processed will be captured by an external camera. This
robot is built as a prototype for the steel industry. 

Kaynakça

  • E. B. Mathew, D. Khanduja, B. Sapra, B. Bhushan, Robotic arm control through human arm movement detection using potentiometers, International Conference on Recent Developments in Control, Automation and Power Engineering, 2015.
  • B. İşçimen, H. Atasoy, Y. Kutlu, S. Yıldırım, E. Yıldırım, Smart robot arm motion using computer vision, Elektronika Ir Elektrotechnika, ISSN 1392-1215.
  • M. A. Jayaram, H. Fleyeh, Convex hulls in image processing: a scoping review, American Journal of Intelligent Systems, 2016.
  • OpenCV library document, https://opencv.org/
  • Structural Analysis and Shape Descriptors, OpenCV “2.4.13.7 documentation”. https://docs.opencv.org
  • A. Dhawan, A. Bhat, S. Sharma, H. K. Kaura, Automated robot with object recognition and handling features, International Journal of Electronics and Computer Science Engineering, ISSN 2277-1956/V2N3-861-873.
  • Abhishek Chavan, Abhishek Bhuskute, Anmol Jain, Dynamics of robotic arm, International Journal of Computer Applications (0975 – 8887), 2014.
  • C. Manresa, J. Varona, R. Mas, F. J. Perales, ‘‘Hand tracking and gesture recognition for human-computer interaction’’, Electronic Letters on Computer Vision and Image Analysis 5(3):96-104, 2005.
  • P. Xu, A real-time hand gesture recognition and humancomputer interaction system, arXiv:1704.07296v1 [cs.CV] 24 Apr 2017.
  • A. Soetedjo, I.K. Somawirata, A. Irawan, ‘‘Human arm movement detection using low-cost sensors for controlling robotic arm’’, Journal of Telecommunication, Electronic and Computer Engineering, e-ISSN: 2289-8131 Vol. 10 No. 2-3.
  • A. Alam, T. Rana, M. Hashemy, An autonomous detective robotic arm, International Conference on Mechanical, Industrial and Materials Engineering 2017.
Toplam 11 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Ali Çetinkaya 0000-0003-4535-3953

Onur Öztürk Bu kişi benim 0000-0002-1625-3075

Ali Okatan Bu kişi benim 0000-0002-8893-9711

Yayımlanma Tarihi 30 Haziran 2019
Kabul Tarihi 27 Nisan 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 5 Sayı: 2

Kaynak Göster

APA Çetinkaya, A., Öztürk, O., & Okatan, A. (2019). Controlling A Robotic Arm Using Hand Recognition Software. International Journal of Engineering Technologies IJET, 5(2), 59-63.
AMA Çetinkaya A, Öztürk O, Okatan A. Controlling A Robotic Arm Using Hand Recognition Software. IJET. Haziran 2019;5(2):59-63.
Chicago Çetinkaya, Ali, Onur Öztürk, ve Ali Okatan. “Controlling A Robotic Arm Using Hand Recognition Software”. International Journal of Engineering Technologies IJET 5, sy. 2 (Haziran 2019): 59-63.
EndNote Çetinkaya A, Öztürk O, Okatan A (01 Haziran 2019) Controlling A Robotic Arm Using Hand Recognition Software. International Journal of Engineering Technologies IJET 5 2 59–63.
IEEE A. Çetinkaya, O. Öztürk, ve A. Okatan, “Controlling A Robotic Arm Using Hand Recognition Software”, IJET, c. 5, sy. 2, ss. 59–63, 2019.
ISNAD Çetinkaya, Ali vd. “Controlling A Robotic Arm Using Hand Recognition Software”. International Journal of Engineering Technologies IJET 5/2 (Haziran 2019), 59-63.
JAMA Çetinkaya A, Öztürk O, Okatan A. Controlling A Robotic Arm Using Hand Recognition Software. IJET. 2019;5:59–63.
MLA Çetinkaya, Ali vd. “Controlling A Robotic Arm Using Hand Recognition Software”. International Journal of Engineering Technologies IJET, c. 5, sy. 2, 2019, ss. 59-63.
Vancouver Çetinkaya A, Öztürk O, Okatan A. Controlling A Robotic Arm Using Hand Recognition Software. IJET. 2019;5(2):59-63.

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