The company TACSA - Tratamientos y Acabados por Cataforesis S.A. has developed the project “Artificial Vision for Defect Detection in Painting Lines,” which has been subsidized with the support of ACCIÓ under the framework of the Advanced Digital Technologies Coupons program.
With this DIH4CAT (eurecat) artificial vision project, TACSA aims to determine the limits of defect detection in a cathodic painting process.
Artificial vision helps us detect defects quickly and accurately, as it is based on images analyzed by self-learning algorithms.
On the left, defective piece. On the right, good piece.
These systems can identify minimal imperfections, such as deformations, particles, and irregularities that the human eye would struggle to perceive. We reduce human errors in the continuous inspection of the same reference. In our case, the red dots in the image indicate the mentioned defects.
Artificial vision provides us with data analysis that we use as a tool for continuous improvement, helping us optimize the quality of our processes, which directly translates into enhanced competitiveness.
With the support of: