Artificial intelligence (AI) is the basis for humanlike intelligence processes through the creation and application of algorithms built into a dynamic environment, seen in everyday industry scenarios, automating and optimizing manufacturing to increase efficiency.

Deep Learning allows many practical applications of machine learning nowadays. This approach is represented by an algorithm that triggers the movement of Artificial Neural Networks. It is inspired by the biological brain-behavior that is capable of being trained for practical applications and an optimized implementation process.

The image recognition trainability via deep learning helps disentangle abstractions and determine which features remove redundancy in representation and improve performance.

Traditionally, the automotive sector has been one of the avant-garde segments in the development and applications of artificial vision

In a context where the number of variants and existing configurations for the interiors of vehicles is increasing and with ever more tenuous differences, it is essential to ensure that the components produced are identified correctly before they are sent to OEMs.