Implementation of Automatic Door Hand Code at PT. Medan Sugar Industry

Hartono Hartono, Silvia Lestari, Firman Syahputra

Abstract


The automatic door system is a system that is used to help human performance where this system uses hand-code collected from a set of data taken by using a camera in the form of an image. Therefore the researchers conducted research for hand-code recognition in making systems, doors. automatic. use skin tone detection and overall projection to recognize human hand codes, then convert them to binary "1" and "0" forms. The process is to use a web camera to automatically take a picture in the palm of someone's hand, then extract the feature by getting the important features from hand-code based on hand position. Perform tracking and projection integration to get the handheld functionality you need. So, it can be used to open and close doors automatically.

Keywords


online; Integral Projection; Automatic Door; Hand Code; Image Processing;

Full Text:

PDF

References


Hsu R, Abdel-Mottaleb M. and Jain A.: Face detection in color images. Pattern Analysis and Machine Intelligence, 2002.

M. Jones and J. M. Rehg. Statistical color models with application to skin detection. In Computer Vision and Pattern Recognition, 1999.

Chai, D., and Bouzerdoum, A. bayesian approach to skin color classification in YCrCb color space, 2000.

Ir.Riyanto Sigit, Modul praktikum Image Processing, Pengolahan Citra,2005.

Vladimir Vezhnevets, Vassili Sazonov, Alla Andreeva, BayesianClassifier. Skin Color Detection Techniques.

Y.Tian and R. Bolle, ´Real World Real-time Automatic Recognition of Facial Exspressions´, IBM Research Report, PETS 2003.

Jenn-Jier James Lien, Takeo Kanade, Jeffrey F.Cohn, and C.C.Li, ³Detection, tracking, and classification of action units in facial expression´, Journal of Robotics and Autonomous System, 31:131–146, 2000.

L.Hsu and M.A.Mottaleb, ”Face Detection in Color Image”, Appear In IEEE Tans. PAMI, Vol. 24, no.5, pp.696-706, may 2002.




DOI: http://dx.doi.org/10.30700/jm.v1i2.1105

Article Metrics

Abstract view : 186 times
PDF - 351 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 JUDIMAS (Jurnal Inovasi Pengabdian Kepada Masyarakat)

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

JUDIMAS (Jurnal Inovasi Pengabdian Kepada Masyarakat) terindex di :


DRJI Indexed Journal
 


   

View My Stats