İnverter klima akıllı etkileşim sistem tasarımı

Year 2018, Volume: 24 Issue: 2, 205 - 213, 30.04.2018

Murat Taşkıran Nihan Kahraman , Halime Usta Yoğun

Abstract

Bilgisayarların
gündelik hayatın bir parçası olmasıyla birlikte insan-bilgisayar etkileşimi
önem kazanmaya başlamıştır. Geleneksel insan bilgisayar arayüzleri olan klavye,
fare gibi aygıtlar yaygın olarak kullanılmasına rağmen kullanıcı ile bilgisayar
arasındaki bilgi ve komut akışını sınırlamaktadır. Son dönemlerde jestler
sadece çevre ve insanlar arası iletişimde değil, insan-makina iletişimde de
önemli bir role sahip olmaya başlamıştır. Jestlerin ne anlama geldiği ve nasıl
bir bilgi taşıdığı alanındaki çalışmalar gün geçtikçe insan-makina arayüzü
(iletişimi) çalışmalarında daha fazla yer almaya başlamıştır. Bu çalışmada amaç
elektronik cihazlardan biri olan inverter klimaların kontrolünü kullanıcı ile
makina arasında direkt bir etkileşim sağlayarak, kullanıcının daha kolay ve
aracıdan bağımsız olarak inverter klima ile haberleşmesini sağlamaktır.
Önerilen sistemde el jestinin tanınması amacı ile öncelikle kameradan
görüntüler alınmış ve bu görüntülere literatürde bulunan görüntü ön-işleme
teknikleri ve filtreleri kullanılarak, görüntünün netleştirilmesi ve
gürültülerin temizlenmesi sağlanmıştır. Ön-işleme işlemi sonucunda elde edilen
görüntülerde ten rengi tespiti ve Yönlü Gradyanlar Histogramı (YGH)
algoritmaları kullanılarak el jestinin konumu belirlenmiştir. Daha sonra
görüntü işleme algoritmalarından elde edilen konum bilgileri yapay sinir ağına
giriş olarak verilerek el jestinin hareketi anlamlı hale getirilmiş ve inverter
klimada %92 başarı ile sıcaklık ve fan ayarları kontrolü sağlayan bir algoritma
geliştirilmiştir.

Keywords

İnverter klima, Akıllı sistem tasarımı, Morfolojik işlemler, Yönlü gradyanlar histogramı, Çok katmanlı algılayıcılar, k–en yakın komşuluk

Inverter air conditioner intelligent system design

Abstract

As the
computers are becoming a part of people’s daily lives, human-computer
interaction has started to gain more importance. Even though the traditional
human computer interfaces like the keyboards and mouses are used frequently,
they are making the information and command flow limited. Recently, gestures
are not only gaining a more important role in the environment-human relations
but also in human-machine interactions as well. The studies on the meaning of
the gestures and what kind of information they carry are increasing their
places in researches on human-machine interface communication. The aim in this
study is to provide an easy and user independent human -machine interface
system in air conditioners. In the proposed system, in order to recognize hand
gestures, first image preprocessing techniques and noise filters have been
applied to images taken from camera. These processes provide clarification of
image. After preprocessing, Histogram of Oriented Gradients (HOG) algorithm is
used along with the skin color detection made via image processing techniques
applied in order to the recognition of hand gestures. After then, the hand
gestures have made meaningful as the obtained images are given as inputs to
artificial neuron network and an algorithm, which ensures fan and temperature
settings with 92% success level in inverter air conditioners, is developed.

Keywords

Inverter air conditioner, Intelligent system design, Morphologic process, Histogram of oriented gradients, Multi-Layer perceptron, k-nearest neighborhood

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