Download fulltext eLife HTML HTML
Kurnia, R. (2016). Efficient Mixer in Baking “Galamai” Process by Using Camera Sensor. KnE Engineering, 1(1). https://doi.org/10.18502/keg.v1i1.483

https://doi.org/10.18502/keg.v1i1.483

statistics

  • 451 Abstract Views
  • 215 PDF Views
  • 1 HTML Views

authors

  • Rahmadi Kurnia
    No author data available.

Published Date

  • Sep 5, 2016

Efficient Mixer in Baking “Galamai” Process by Using Camera Sensor

KnE Engineering / Conference on Science and Engineering for Instrumentation, Environment and Renewable Energy /

Abstract

One of Indonesian traditional food, expecially in Minangkabau called galamai was baked with inefficient and complicated manner. At least 4 or 5 person were needed to mix 30 kg galamai batter for 6 hours during baking process. This research solved those problems. The aim  of this work was to displace a human labor with an automatic machine to make it more efficient.  The basic idea of this reseach is to desain an automatic mixer by using camera sensor for controling the speed of DC machine. This mixer was worked base on the fact galamai batter characteristics that its color and viscosity will change during cooking process. Discoloration in galamai batter will be captured by camera sensor as a data input. Images data of the color of galamai batter will be converted in grayscale images. The intensity of gray scale image became an input for  FIS (Fuzzy Inference System) which controled the speed of  machine. The speed of motor will increase when the grayscale color of galamai batter is low. The system could controlled turning speed of motor automatically with acuration of speed value is more than 96.4% and synchronized in variation of galamai batter volume.

References
[1] A. S. Abd Elhamid, Cascade Control System od Direct Curent Motor, World Appl Sci J, 18, 1680–1688, (2012).


[2] P. Kumar and R. Mishra, Implementation of FPGA based PID Controller for DC Motor Speed Control System, International Journal of Engineering Trends and Technology, 4, no. 3, (2013).


[3] G. Madhusudhana Rao and B.V.S. Ram, Speed Control of Multi Level Inverter Designed DC Series Motor with Neuro-Fuzzy Controllers, Journal of Computing, 1, no. 1, (2009).


[4] J. -C. Yang, C. -L. Lai, H. -T. Sheu, and J. -J. Chen, An intelligent automated door control system based on a smart camera, Sensors (Basel), 13, 5923–5936, (2013).


[5] Z. Wu and R. J. Radke, (2011)., Real Time Airport Security Checkpoint Surveillance Using a Camera Network, Workshop CNWASA, IEEE Conf.Computer Vision and Pattern Recognition, 25-32.


[6] I. Intyas, 2012, Implementasi Fuzzy Logic dan Sensor Warna pada Mesin Pengaduk Kopi Otomatis, Padang, Thesis.


[7] A. Noor, et al., Understanding Color Models:A Review ARPN, Journal of Science and Technolog, 2, no. 3, (2012).


[8] M. Rahmadi Kurnia, et al., Object Recognition through Human-Robot Interaction by Speech, Proceedings of the 13th IEEE International Workshop on Robot and Human Interactive Communication (RO-MAN 2004).