The search for inexhaustible sources of energy has been caused the wind energy market to have a great expansion for 10 years. The blades are considered the main components in the design of a wind turbine and have the function
of capturing wind energy and later converting it into rotational energy. The enormous structures that make up the blades
make it difficult to manufacture and inspect, and this leads to the search for innovative methods capable of ensuring
product quality. Several controls undergo visual inspection and manual measurement to validate items that are critical to
the manufacturing process and product quality. Due to the still shy amount of work found in the literature using computer
vision, and with the work found limited to inspections during the operation of small wind turbines, proposing corrective
solutions for surface defects, this work proposes the application of an automatic inspection system for dimensional and
quality control of wind turbine blades in a factory environment by means of computer vision and pattern recognition algorithms, applied to the evaluation of images captured during the dry paint thickness measurement process of the protective
paint that guarantees the integrity of the blade surface for the life span for which it is sized.
