AI for detection and automation
In an increasingly competitive production environment, quality is a key differentiating factor. Lack of quality represents a high risk to performance and competitiveness, which leads to very high costs for industries. Machine Learning and Deep Learning algorithms contribute today to the increasing automation of quality control in production lines, helping to significantly reduce the number of defective parts and the consequences of this.