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CrowdPet: applying computer vision in the identification of lost pets

Abstract

Brazil, just like several other developing countries, has a significant problem regarding street animals population. Aside the cruel conditions, this situation represents risks for public health, since the animals may become sick and procreate at alarming rates. We intend to employ technological solutions -- specifically, computer vision and machine learning methods -- in order to approach this urban problem in a collaborative fashion, making it easier for citizens to take part on the process of identification and mapping of those animals. This project is proposed in the context of the CrowdPet service, which will be made available to users in the form of a smartphone App, thus allowing for the easy determination of lost pets. On one hand, pet owners (aka, tutors) can submit pictures of their lost pets to the system, while regular users (aka, volunteers) will submit pictures they take from street animals they encounter on their daily commute. Our main goal is to contribute with computational methods for the visual recognition of animals, so that the process of matching lost and found animals can be made in an automatic, scalable and efficient fashion. (AU)

Articles published in Pesquisa para Inovação FAPESP about research grant:
Smartphone app uses computer vision to identify animals 
Articles published in Agência FAPESP Newsletter about the research grant:
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Filed patent(s) as a result of this research project

SISTEMA DE GERENCIAMENTO E MÉTODO DE IDENTIFICAÇÃO DE ANIMAIS BR1020180677560 - Sipet Soluções em Inovação Tecnológica Ltda ; Universidade Estadual de Campinas (UNICAMP) . ORLANDO VOLPATO FILHO / FABIO ROGERIO PIVA / FERNANDA ALCANTARA ANDALO / ALLYSSON FLAVIO MELO DE OLIVEIRA / EDUARDO ALVES DO VALLE JUNIOR - September 2018, 04