Oguzhan KARAKAYA, Fikret Mert GÜLTEKİN, Mert BAŞKAYA, Yunus DOĞAN

Bir Yapay Zeka Yaklaşımı ile Araba Otopark Alanı Tespiti Üzerine Bir IoT Uygulaması

Günümüzde akıllı şehir çözümleri her geçen gün popüler hale gelmektedir. Park yeri bulma sorunu da bu uygulamalardan biridir. Çalışmamız hızlı bir şekilde aracını park etmek isteyen ve park yeri aramadan önce park yerinin müsait olup olmadığını öğrenmek isteyen kullanıcılara hitap etmektedir. Bu uygulama park edecek yer arama sorununa çözüm bulmayı amaçlamaktadır. Görüntü işleme yöntemlerini kullanarak, yol kenarındaki park yerlerinin fotoğraflarından en etkin şekilde yararlanarak bu soruna yeni bir çözüm bulunmuştur. Ayrıca görüntü işleme modülü ile elde edilen sonuçları bir mobil uygulama üzerinden kullanıcılara ulaştırabileceğimiz bir Andorid yazılımı gerçekleştirilmiştir. Sonuç olarak bu çalışmada %92 doğruluk değerine sahip bir otopark IoT belirleme sistemi gerçekleştirilmiştir. Bu sistem sayesinde araçlarını cadde kenarına park etmek isteyen araç sahipleri, bir caddede park yerlerinin müsait olup olmadığını önceden öğrenebilecek ve daha müsait caddeleri tercih ederek zamandan tasarruf edebilecektir.

Anahtar Kelimeler:

akıllı şehirler, karar destek sistemleri, görüntü işleme, mobil uygulamalar, nesnelerin interneti, yapay zeka

AN IOT BASED APPLICATION ON THE DETECTION OF CAR PARKING AREA BY AN ARTIFICIAL INTELLIGENCE APPROACH

Nowadays, smart cities solutions have been becoming popular day by day. The problem of finding a parking place is one of these implementations. Our study appeals to users who want to park their vehicle quickly and who want to find out whether the parking place is available to park before searching for a parking place. This application aims to find a solution to the problem of searching for a place to park. We have found a novel solution to this problem by using image processing methods and utilizing photographs of streetside parking places in the most effective way. In addition, an Android software has been developed through which we can deliver the results obtained with the image processing module to users via a mobile application. As a result, a parking IoT determination system has been implemented in this study with 92% accuracy value. Thanks to this system, vehicle owners who want to park their vehicles on the side of the street will be able to learn whether the parking places in a street are available in advance and they will be able to save their time by preferring more available streets.

Keywords:

smart cities, decision support systems, image processing, mobile applications, internet of things, artificial intelligence,

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