Analysis of technical feasibility of embedded computer vision system for identification of poultry carcass with possible contamination

• Grant number: 19/00633-0
• Support type: Scholarships in Brazil - Research Program in eScience - Small Business
• Effective date (Start): February 01, 2019
• Effective date (End): October 31, 2019
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Fernando Antonio Torres Velloso da Silva Neto
• Grantee: Fernando Antonio Torres Velloso da Silva Neto
• Company: Mvisia Comércio de Equipamentos Eletrônicos Inovadores Ltda
• Associated research grant: 18/13213-6 - Analysis of technical feasibility of embedded computer vision system for identification of poultry carcass with possible contamination, AP.eScience.PIPE