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CrowdPet: automatic identification of pets in images

Grant number: 17/16244-7
Support Opportunities:Research Grants - Innovative Research in Small Business - PIPE
Duration: July 01, 2018 - June 30, 2020
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal Investigator:Fabio Rogério Piva
Grantee:Fabio Rogério Piva
Host Company:SciPet Soluções em Inovação Tecnológica Ltda. - ME
CNAE: Tratamento de dados, provedores de serviços de aplicação e serviços de hospedagem na internet
Portais, provedores de conteúdo e outros serviços de informação na internet
Pesquisa e desenvolvimento experimental em ciências físicas e naturais
City: Campinas
Pesquisadores principais:
Allysson Flavio Melo de Oliveira ; Fernanda Alcântara Andaló ; Orlando Volpato Filho
Associated researchers:Anderson de Rezende Rocha
Associated research grant:16/01957-5 - CrowdPet: applying computer vision in the identification of lost pets, AP.PIPE
Associated scholarship(s):19/06411-9 - CrowdPet: Automatic identification of pets in images, BP.TT
18/24535-4 - CrowdPet: automatic identification of pets in images, BP.TT
18/15546-2 - CrowdPet: automatic identification of pets in images, BP.TT
+ associated scholarships 18/17308-1 - CrowdPet: automatic identification of pets in images, BP.TT
18/13836-3 - CrowdPet: automatic identification of pets in images, BP.TT
18/13821-6 - CrowdPet: automatic identification of pets in images, BP.TT
18/13813-3 - CrowdPet: automatic identification of pets in images, BP.PIPE - associated scholarships

Abstract

Brazil, as well as several other developing countries, has a significant problem regarding street animal populations. Aside the cruel conditions, this situation represents risks for public health, since 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 in the process of identification and collecting relevant data on these animals. This project is defined in the context of the CrowdPet service, which will be made available to users through a smartphone application and will improve various aspects related to the problem, such as acquisition and intelligent processing of real data on animal populations, automatic localization of lost animals, and accountability in the guardianship of dogs and cats. We present partial results obtained during PIPE Phase 1, which include crucial strategic partnerships with governmental, private, and non-governamental (NGO) organizations, showing the evolution of the original concept into a thorough, applicable and commercially viable solution. Partial technical results of the scholarship holders and third parties are also discussed in general terms. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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