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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Chun, Kyunghan
Daegu Catholic University
Computer Science & IT Electrical & Electronics Engineering

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Personal Assistant Development by CED (Canine Eye-disease Detection) Chun, Kyunghan
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 4: December 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i4.5177

Abstract

In this paper, we develop a deep learning-based canine eye disease detection and utilize it to create a dog health management system. With the recent surge in the number of pet dogs, ensuring their well-being has become crucial. We achieve this by applying lightweight deep learning methods like MobileNet and SqueezeNet to mobile devices, enabling regular monitoring of a pet's eye health. Additionally, we provide a GPS-based search feature for nearby hospitals, facilitating swift response to diseases. The validity of the developed method is demonstrated through experiments on 5 eye diseases. The results confirm the importance of considering appropriate recognition rates and recognizability metrics, as outcomes may vary depending on the applied deep learning approach.
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