Application of Automation and Computer Vision in Reducing Failures in the Production Process of Safety Belts
Arquivos
Data
2021
Título da Revista
ISSN da Revista
Título de Volume
Editor
Instituto de Tecnologia e Educação Galileo da Amazônia
Resumo
Product quality is one of the primary criteria considered by customers when choosing an item and an essential factor for companies to stand out in the competitive market. In the Manaus Industrial Hub (PIM), defect detection in the production of safety belts is a critical stage. This study proposes a solution based on artificial intelligence and computer vision to automate this inspection, ensuring greater efficiency and reliability. An algorithm was developed using Deep Learning (DL), achieving 100% accuracy in defect identification, representing a significant advancement for automated inspection.
Descrição
Palavras-chave
Artificial Intelligence (AI), Polo Industrial de Manaus (PIM), Deep Learning, Python, Safety Belts
Citação
SOUZA, Kerlisson Silva de; SANTOS, Eliton Smith dos; ALENCAR, David Barbosa de; NASCIMENTO, Manoel Henrique Reis; SANTOS, Alyson de Jesus dos. Application of Automation and Computer Vision in Reducing Failures in the Production Process of Safety Belts. IOSR Journal of XXXXX, v. X, n. X, p. XX-XX, 2021.