Application to assist in the recognition and identification of lost pets using the Artificial Neural Networks technique
Barreira, Alexander · HAL (Le Centre pour la Communication Scientifique Directe) · 2023
The number of abandoned pets in Brazil increased significantly between 2018 and 2020, with a 126% increase at the start of the pandemic (IPB, 2022). This study explores the emotional impact of abandonment on dogs and the happiness of reunions with their owners. Dogs suffer from abandonment, waiting for their owners to return (Bradshaw, 2016). This waiting period weakens them, as it breaks their routine and affects their self-care. Losing a pet can be compared to losing a loved one. In Brazil, the process of reuniting pets with their owners is still precarious. However, when reunions do happen, the happiness is immense for both parties, improving physical and mental health. The connection at this moment transcends the senses of life. This work aims to implement a pattern recognition tool using Artificial Intelligence (AI) techniques to help identify lost pets. The tool will use image recognition and machine learning algorithms to match lost pets with their owners. The tool will be developed using open-source technologies and will be made available to the public free of charge. The expected benefits of the tool include: Increased chances of reuniting lost pets with their owners; Reduced stress and anxiety for both pets and owners; Increased awareness of the problem of pet abandonment and, Encouragement of pet adoption. The development of this tool is a significant step towards addressing the problem of pet abandonment in Brazil. By leveraging the power of AI, we can help to create a more compassionate and responsible society for all animals.