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Automotive paint inspection

Grant number: 22/11340-6
Support Opportunities:Research Grants - Innovative Research in Small Business - PIPE
Duration: December 01, 2022 - November 30, 2023
Field of knowledge:Engineering - Mechanical Engineering - Manufacturing Processes
Convênio/Acordo: FINEP - PIPE/PAPPE Grant
Principal Investigator:Viny Cesar Pereira
Grantee:Viny Cesar Pereira
Host Company:Autaza Tecnologia S/A
CNAE: Fabricação de máquinas e equipamentos para uso industrial específico não especificados anteriormente
Fabricação de automóveis, camionetas e utilitários
City: São José dos Campos

Abstract

The industry considers the appearance of the automobile a differentiator to win over the customer. It is impeccable construction and high quality car paintwork. By having a control in the industry, which prevents the quality of painting from reaching the publicity or pollution to consumers. Subsequent self-motivation is normally carried out visually trained, which seeks paint quality rework or paint polishing In addition to being an intense work and with little time for increasingly repetitive, this assessment is repeated at subsistence and has low reproducibility. This project presents an automatic Automotive Paint Inspection solution. The project of this is an Inspection Cell, consisting of equipment and software that produces the improvement of quality and productivity of painting in the automotive industry. This proposal continues the development already started in the PIPE project phase 2 2018-26444-6, in which it was possible to create a laboratory at Autaza that simulates the complexity and mobility of an automotive production line. The Edge Inspection Cell, which allows you to identify the automatic form of operation, which allows you to expand the extent of an optical system in your bodywork, covering the entire length of your bodywork. The optical surveillance head has special lighting that reflects on the body and camera to capture the reflected image. The software analyzes the identification and variations in photo patterns in the painting to identify imperfections. These identified reports are grouped into a global automotive market, which is shown on monitors so plant operators know where to perform a paint correction. (AU)

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