Team: Yasin Mert Erkekli, Yağız Ertan Gürelli, Hayati Mert Eğribel

Year: 2020-2021 Fall Semester

Description: Dual-tone Multi-Frequency, shortly DTMF, signals are used in touch tone telephones as well as many other areas like telephone banking, control systems. The main idea and objective of this project is determining the frequencies of the numbers from a sound file, which has waveforms in it and showing the outputs which number has been used in the order. This project has been implemented and done by using MATLAB.

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Team: Hüseyin Efe ÖZTUFAN, Göktuğ YILDIRIM

Year: 2019-2020 Fall Semester

Description: The main idea of this project is to classify malaria disease within two different types of pictures which are infected and uninfected blood cell pictures. Manual diagnosis of blood smears is an intensive manual process that requires expertise in classifying and counting parasitized and uninfected cells. Due to the power of Python and deep learning frameworks, we built robust, scalable and effective deep learning solution to image classification. As a result of this project infected and uninfected blood cell pictures are classified by developed model which can be classified with %92 accuracy on the test set.

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Team: Arda KALO, Atakan KARA

Year: 2018-2019 Fall Semester

Description: In this project our goal is accomplishing face detection. Face detection is a very important topic because it’s the first stage for face recognition. For the face detection method, we first choose the quantized colour regions merging but after the proposal, we decide move on with Eigen face method proposed in Turk and A. Pentland (1991).

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