Purwarupa Pengoperasian TV Dengan Mendeteksi Isyarat Jari Berbasis Pengolahan Citra Digital

https://doi.org/10.22146/ijeis.7151

Handreas Okta Wibawa(1*), Agus Harjoko(2)

(1) 
(2) Jurusan Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(*) Corresponding Author

Abstract



            The development computer technology and electronics very rapidly at this time makes people start looking for other solutions to perform activities easier and more practical. Technologies are developed and can be used at this time it is possible to facilitate the activities human beings to operate TV with finger gesture.

            In this research, digital image processing of technology can be used to operate TV using webcam and computer as image processing. Input this research is hand image that catched by webcam on computer. Then hand image processed through image processing system to obtain results form value fingers. This value indicates the number equal to number fingers detected by webcam camera on monitor screen. Microcontroller function is receives serial data from results image processing and serves serial data conversion value into instructions can operate TV. Color model used in research is HSV.

                First step testing this research is setting room in order to capture image for get best results in any room. Results of the research found best value for testing operation TV with finger gesture is : for value light intensity is 12 lux, best distance is 70 cm and best baskground is blue.


Keywords


TV, image processing, HSV color model

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References

Gunanto, S. G., 2009. Segmentasi Bagian Warna Tubuh Manusia pada Citra 2D. Proceeding SENTIA.
[2] Oliviera, V. A., 2009, Skin Detection using HSV Color Space, http://www.matmidia.mat.puc-rio.br/sibgrapi/media/posters/59928.pdf, diakses pada tanggal 20 Februari 2013.
[3] Ho, L., 2011, Finger Detection and Gesture Recognition, http://www.code.google.com/p/finger-detection-and-gesture-recognition/, diakses pada tanggal 15 Februari 2013.
[4] Agarwal, K., 2012, Final Project Snap, http://www.golancourses.net/kaushal-agarwal-final-project-snap/, diakses pada tanggal 18 Februari 2012.
[5] Hilmi, M.A., 2012, Purwarupa Kendali Lengan Dental Light dengan Isyarat Jari Berbasis Pengolahan Citra Digital (OPENCV), Skripsi, Elektronika dan Imnstrumentasi FMIPA UGM, Yogyakarta.
[6] Roysoala, 2013, IR Remote Menggunakan Arduino, http://www.roysoala.wordpress.com/ir-remote-menggunakan-arduino/, diakses pada 11 Agustus 2013.
[7] Shirriff, K., 2012, Multi Protocol Infrared Remote Library for The Arduino, http://www.arcfn.com/multi-protocol-infrared-remote-library.html/, diakses pada 5 Agustus 2013.
[8] Shirriff, K., 2012, Arduino IRremote, http://www.github.com/shirriff/Arduino-IRremote/, diakses pada 5 Agustus 2013.
[9] Chen, L., 2010, Fast Object Tracking using The OpenCV Library, http://www.lirtex.com/robotics/fast-object-tracking-robot-computer-vision/, diakses pada 7 Maret 2013.
[10] Fernando, S., 2010, Object Detection using Color Separation, http://www.opencv-srf.blogspot.com/object-detection-using-color-seperation.html/, diakses pada 12 April 2013.
[11 ]Burke, E., 2011, Finger Tracking Counting using OpenCV Convexity Defect, http://www.codeproject.com/Finger-tracking-counting-using-openCV-convexity-defect/, diakses pada 10 Mei 2013.



DOI: https://doi.org/10.22146/ijeis.7151

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