Real time Image Processing based Robotic Arm Control Standalone System using Raspberry pi

International Journal of Electronics and Communication Engineering
© 2015 by SSRG - IJECE Journal
Volume 2 Issue 8
Year of Publication : 2015
Authors : P.Hemalatha, C.K.Hemantha Lakshmi and Dr.S.A.K.Jilani
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How to Cite?

P.Hemalatha, C.K.Hemantha Lakshmi and Dr.S.A.K.Jilani, "Real time Image Processing based Robotic Arm Control Standalone System using Raspberry pi," SSRG International Journal of Electronics and Communication Engineering, vol. 2,  no. 8, pp. 12-15, 2015. Crossref, https://doi.org/10.14445/23488549/IJECE-V2I8P105

Abstract:

This paper proposes Realtime Image Processing based Robotic Arm Control Standalone System using Raspberry pi. In the present era we made a robot capable of surveillance and also with an alternate application in detecting and following a pre specified object. The detection and recognition has been done using open CV library. The whole code for Object detection written in MATLAB. And this all processing has been done on raspberry pi which works on Raspbian OS based on Debian which is Linux OS.To program the controlling of one arm robot using Raspberrypi for the identification of objects and tracking object operations without any manual control.The total programming model is developed in MATLAB. Simulink support package for raspberrypi hardware. The program includes capturing the object image, processing, identifying the green object and controllingof robot armby using Raspberry Pi.

Keywords:

Raspberry pi, Robot Arm, MATLAB, Simulink.

References:

[1]Dragusu.M,”Practical applications for robotic arm by using image processing” system theory, control and computing (ICSTCC), 2012 16th international conference.
[2]V.Pereira,”Low cost object sorting robotic arm using raspberry pi” Global Humanitarian Technology Conference-South Asia Satellite(GHTC-SAS),2014 IEEE.
[3]C.TheisA.Steinhage andI.Iossifidis ,”Image processing methods for interactive robot control”, proceedings 10th IEEE International Workshop on robot and human interactive communication,2001.
[4]Vijayalaxmi,K.Anjali,B.Srujana,P.Rohith Kumar “Object Detection and Tracking using Image Processing” Elecronics and Communications Global Journal of Advanced Engineering Technologies, Special Issue (CTCNSF-2014).
[5]R.Szabo,”Automated colored object sorting applications for  robot arms” Electronics andTelecommunications(ISETC),2012 10th International Symposium.
[6]P.Ashish andCharuBhartiya,  “Image Processing Based Rose Harvesting System using Raspberry Pi” ElectronicsInternational Journal of Engineering Research & Technology (IJERT)Vol. 4 Issue 04, April-2015.
[7]AartiS.Hajari and SaakshiA.shankarpurkar. “Personal Computer Based Robotic Arm with Vision” International Journal of Image Processing and Vision Sciences(IJIPVS) VOL-1ISS-3,4,2012.
[8]Melwin Abraham C, R.Jegan and Shobhitha Ann JOB “OWI535EDGERoboticArmControlElectroMyoGram(EMG)Signals” International Journal of Innovative Technology and ExploringEngineering(IJITEE)VOL-2,ISS-6,may 2013.