Development of modern industry is achieved with automation of production, which also includes product inspection. It is a monotonous and repetitive process where workers classify products as either acceptable or defective. In recent years, due to advancements in computer vision, an increasing number of companies are opting for optical inspection systems. The purpose of these systems is to alleviate the workload of employees and improve production efficiency.
This master’s thesis presents the design and development of a system for optical inspection of stators and its integration into a robotic cell. A comparison of various types of hardware and software is explained for this case. Based on this comparison, cameras, lenses, lighting, and software for application development were selected. The process of application development is also presented.
The application is developed using Aurora Vision Studio and enables the detection of the most common stator defects through image analysis. It is designed to accommodate the inspection of stators of varying heights. The application can be operated by workers via the user interface or by the programmable logic controller via Profinet communication. The latter mode has not yet been fully tested due to the incomplete robotic cell.
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