Year 2019, Volume 5, Issue 2, Pages 59 - 63 2019-06-30

Controlling A Robotic Arm Using Hand Recognition Software

Ali Çetinkaya [1] , Onur Öztürk [2] , Ali Okatan [3]

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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. 

Gesture Recognition, OpenCV, Embedded System Robotic Arm Control, Embedded C.
  • 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.
Primary Language en
Subjects Engineering
Journal Section Makaleler
Authors

Orcid: 0000-0003-4535-3953
Author: Ali Çetinkaya (Primary Author)
Institution: Technology Transfer Office, Istanbul Gelisim University
Country: Turkey


Orcid: 0000-0002-1625-3075
Author: Onur Öztürk
Institution: School of Management, Faculty of Engineering, University College London (UCL)
Country: United Kingdom


Orcid: 0000-0002-8893-9711
Author: Ali Okatan
Institution: Department of Computer Engineering, Faculty of Engineering, Istanbul Gelisim University,
Country: Turkey


Dates

Publication Date: June 30, 2019

Bibtex @research article { ijet462339, journal = {International Journal of Engineering Technologies IJET}, issn = {2149-0104}, eissn = {2149-5262}, address = {İstanbul Gelisim University}, year = {2019}, volume = {5}, pages = {59 - 63}, doi = {}, title = {Controlling A Robotic Arm Using Hand Recognition Software}, key = {cite}, author = {Çetinkaya, Ali and Öztürk, Onur and Okatan, Ali} }
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. Retrieved from http://dergipark.org.tr/ijet/issue/45163/462339
MLA Çetinkaya, A , Öztürk, O , Okatan, A . "Controlling A Robotic Arm Using Hand Recognition Software". International Journal of Engineering Technologies IJET 5 (2019): 59-63 <http://dergipark.org.tr/ijet/issue/45163/462339>
Chicago Çetinkaya, A , Öztürk, O , Okatan, A . "Controlling A Robotic Arm Using Hand Recognition Software". International Journal of Engineering Technologies IJET 5 (2019): 59-63
RIS TY - JOUR T1 - Controlling A Robotic Arm Using Hand Recognition Software AU - Ali Çetinkaya , Onur Öztürk , Ali Okatan Y1 - 2019 PY - 2019 N1 - DO - T2 - International Journal of Engineering Technologies IJET JF - Journal JO - JOR SP - 59 EP - 63 VL - 5 IS - 2 SN - 2149-0104-2149-5262 M3 - UR - Y2 - 2019 ER -
EndNote %0 International Journal of Engineering Technologies IJET Controlling A Robotic Arm Using Hand Recognition Software %A Ali Çetinkaya , Onur Öztürk , Ali Okatan %T Controlling A Robotic Arm Using Hand Recognition Software %D 2019 %J International Journal of Engineering Technologies IJET %P 2149-0104-2149-5262 %V 5 %N 2 %R %U
ISNAD Çetinkaya, Ali , Öztürk, Onur , Okatan, Ali . "Controlling A Robotic Arm Using Hand Recognition Software". International Journal of Engineering Technologies IJET 5 / 2 (June 2019): 59-63.
AMA Çetinkaya A , Öztürk O , Okatan A . Controlling A Robotic Arm Using Hand Recognition Software. IJET. 2019; 5(2): 59-63.
Vancouver Çetinkaya A , Öztürk O , Okatan A . Controlling A Robotic Arm Using Hand Recognition Software. International Journal of Engineering Technologies IJET. 2019; 5(2): 63-59.