Automatic QUality Inspection using deep Learning and Answer set programming

The project aims at extending the AI4EU platform with an “executable” asset named AQUILA System, useful to automate Quality Inspection (QI) of industrial products, in particular electrical panels. The AQUILA System will combine computer vision deep learning techniques with automatic reasoning and Answer Set Programming (ASP), with the objective to obtain 30% higher precision in defect detection w.r.t. solutions based exclusively on computer vision. The increase in precision of the QI process implicates cost reduction and higher revenues for manufacturing companies. The AQUILA system will be implemented in a total of 4 months and will be tested in a real use case scenario for 4 more months: at the end of the experiment (month 8), we will evaluate the performance of the system. The project is aligned with TOPIC 2 - AI for Manufacturing Applications and AI-on- demand Platform contributions, because the automation of QI is a task of Smart Manufacturing.