MobileViT-Based Dog Breed Classification and AI Risk Assessment
As urbanization accelerates, dog ownership is becoming more common, impacting public safety and community well-being. This paper proposes a MobileVit-based deep learning model for accurate dog breed classification, integrated with a GPT component for behavioral analysis and risk assessment. The system provides real-time risk alerts to administrators, security personnel, and pet owners, helping implement preventive measures. Additionally, it supports intelligent pet management, promotes harmonious human-pet coexistence, and contributes to urban pet regulation development.
Authors
- Wenjie Jiang (ORCID: https://orcid.org/0000-0003-1852-0429)
- Rong Qing Jia (ORCID: https://orcid.org/0009-0000-0859-3582)
- Xi Zhao (ORCID: https://orcid.org/0000-0001-8170-9510)
- R. S. Shi (ORCID: https://orcid.org/0009-0004-0737-8548)
- Jinze Song
Institutions
- Linyi University (CN)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1109/iscait64916.2025.11010498
- Primary Topic
- Video Surveillance and Tracking Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Linyi University