AR-Base Educational Mobile Application for Pet Care Management
This research proposes an innovative mobile application designed to enhance pet care management by assisting dog owners in understanding and addressing various aspects of dog care. The application incorporates three key components: Augmented Reality (AR) guidance for capturing dog skin conditions, Image Processing to determine dog skin conditions, breed, life stage, and body condition, and video analysis to assess dog behaviors. By integrating advanced machine learning models, including DenseNet121, Xception, and YOLO v5 algorithm, along with Convolutional Neural Networks (CNN), the application aims to provide accurate health assessments and recommendations. The goal of this research is to enhance pet care practices through the use of innovative technology, enabling users to make informed decisions regarding their dogs' health, nutrition, behaviors, and overall well-being.
Authors
- Kalpani Manathunga (ORCID: https://orcid.org/0000-0003-1936-5053)
- H. M. L. K. Herath
- Samanthi E.R. Siriwardana
- A.L. Jayawardhana
- N.J. Pietersz
Institutions
- Sri Lanka Institute of Information Technology (LK)
Publication Details
- Published
- 2024-12-17
- DOI
- https://doi.org/10.1109/icca62237.2024.10927815
- Primary Topic
- Persona Design and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00