In industry, surface quality control plays a crucial role in ensuring product quality and reliability. In this context, machine vision systems have established themselves as indispensable tools, capable of detecting defects and imperfections with unprecedented precision and speed.

These systems, based on high-resolution cameras and image processing algorithms, allow surfaces to be examined in detail, detecting anomalies such as scratches, dents, cracks, colour variations and texture defects. Surface quality control can be performed on both flat surfaces and three-dimensional objects, adapting to different production requirements.

The advantages of using vision systems for surface analysis are manifold:

• Greater precision: Machine vision systems are able to detect defects that would escape the human eye, ensuring more accurate quality control.

• Increased productivity: Automation of the inspection process reduces production time and increases production capacity.

• Cost reduction: Early identification of defects minimises production waste and reduces rework costs.

• Traceability and documentation: Machine vision systems can generate detailed reports on surface analysis, ensuring product traceability and regulatory compliance.

The applications of these systems are manifold and range from the automotive industry to electronics, from metallurgy to consumer goods production. In each sector, machine vision systems help to improve product quality and optimise production processes.

You can find the components to realise these applications at atelpi.com.