The comprehensive intelligent development of the manufacturing industry puts forward new
requirements for the quality inspection of industrial products. This paper summarizes the …

Over the last few decades, detecting surface defects has attracted significant attention as a
challenging task. There are specific classes of problems that can be solved using traditional …

In the past years, the computer vision domain has been profoundly changed by the advent of
deep learning algorithms and data science. The defect detection problem is of outmost …

Electroluminescence (EL) imaging has become the standard test procedure for defect
detection throughout the production, installation and operation stages of solar modules …

This article analyzes the relationship between artificial intelligence (AI) and photovoltaic
(PV) systems. Solar energy is one of the most important renewable energies, and the …

This article presents a deep learning scheme for automatic defect detection in material
surfaces. The success of deep learning model training is generally determined by the …

Manufacturing, one of the most valuable industries in the world, is boundlessly automatable
yet still quite stuck in traditionally manual and slow processes. Industry 4.0 is racing to define …

In the operation & maintenance (O&M) of photovoltaic (PV) plants, the early identification of
failures has become crucial to maintain productivity and prolong components' life. Of all …

Quality inspection applications in industry are required to move towards a zero-defect
manufacturing scenario, with non-destructive inspection and traceability of 100% of …

Affordable and clean energy is one of the Sustainable Development Goals (SDG). SDG
compliance and economic crises have boosted investment in solar energy as an important …