Araştırma Makalesi

Controlling A Robotic Arm Using Hand Recognition Software

Cilt: 5 Sayı: 2 30 Haziran 2019
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Controlling A Robotic Arm Using Hand Recognition Software

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. 

Anahtar Kelimeler

Kaynakça

  1. 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.
  2. B. İşçimen, H. Atasoy, Y. Kutlu, S. Yıldırım, E. Yıldırım, Smart robot arm motion using computer vision, Elektronika Ir Elektrotechnika, ISSN 1392-1215.
  3. M. A. Jayaram, H. Fleyeh, Convex hulls in image processing: a scoping review, American Journal of Intelligent Systems, 2016.
  4. OpenCV library document, https://opencv.org/
  5. Structural Analysis and Shape Descriptors, OpenCV “2.4.13.7 documentation”. https://docs.opencv.org
  6. 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.
  7. Abhishek Chavan, Abhishek Bhuskute, Anmol Jain, Dynamics of robotic arm, International Journal of Computer Applications (0975 – 8887), 2014.
  8. 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.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Haziran 2019

Gönderilme Tarihi

21 Eylül 2018

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. https://izlik.org/JA33WM96BS
AMA
1.Çetinkaya A, Öztürk O, Okatan A. Controlling A Robotic Arm Using Hand Recognition Software. IJET. 2019;5(2):59-63. https://izlik.org/JA33WM96BS
Chicago
Çetinkaya, Ali, Onur Öztürk, ve Ali Okatan. 2019. “Controlling A Robotic Arm Using Hand Recognition Software”. International Journal of Engineering Technologies IJET 5 (2): 59-63. https://izlik.org/JA33WM96BS.
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
[1]A. Çetinkaya, O. Öztürk, ve A. Okatan, “Controlling A Robotic Arm Using Hand Recognition Software”, IJET, c. 5, sy 2, ss. 59–63, Haz. 2019, [çevrimiçi]. Erişim adresi: https://izlik.org/JA33WM96BS
ISNAD
Çetinkaya, Ali - Öztürk, Onur - Okatan, Ali. “Controlling A Robotic Arm Using Hand Recognition Software”. International Journal of Engineering Technologies IJET 5/2 (01 Haziran 2019): 59-63. https://izlik.org/JA33WM96BS.
JAMA
1.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, Haziran 2019, ss. 59-63, https://izlik.org/JA33WM96BS.
Vancouver
1.Ali Çetinkaya, Onur Öztürk, Ali Okatan. Controlling A Robotic Arm Using Hand Recognition Software. IJET [Internet]. 01 Haziran 2019;5(2):59-63. Erişim adresi: https://izlik.org/JA33WM96BS

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