LEITE, Jandecy Cabral2025-01-312021SOUZA, 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.https://rigalileo.itegam.org.br/handle/123456789/303Product 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.pdf.Artificial Intelligence (AI)Polo Industrial de Manaus (PIM)Deep LearningPythonSafety BeltsArtigoEngenharia de Produção