Functie TOPIC The document describes an internship opportunity focused on developing and validating AI-based defect detection methods for solar panels using advanced imaging techniques. Solar panel defect detection focus: The project aims to improve reliability and efficiency in solar panels by detecting defects like micro-cracks and broken cells through AI combined with imaging methods such as Photoluminescence (PL), Electroluminescence (EL), and RGB photography. Experimental workflow and tasks: The internship involves building a lab setup with a 3D gantry and imaging systems, capturing and comparing various images, annotating data, training AI models for defect classification, and evaluating imaging and AI performance. Learning and skills development: Interns will gain experience in advanced imaging techniques, hardware setup and calibration, data annotation for AI, machine learning model training and validation, and analysis of imaging modalities for industrial use. Profiel CANDIDATE PROFILE Suitable candidates have a bachelor's degree in engineering or AI-related fields, basic knowledge in image processing and programming, and an interest in AI-driven inspection. Aanbod PRACTICAL DETAILS The internship lasts 3 to 6 months at Flanders Make in Leuven, Belgium, with specific eligibility criteria for interns and thesis students. Bijlagen Download this topic here.