Skoda using ’Magic Eye’ tech to prevent wear and tear at factory

AI-based system uses image analysis to detect deviations in the process

Skoda MagicEye

Skoda is using AI-based image recognition to ensure timely identification of maintenance needs on the assembly line.

At its main plant in the Czech Republic, Skoda has installed a system that continuously monitors assembly line equipment and uses Artificial Intelligence (AI) to detect irregularities in the processes and identify any required maintenance work.

The images of equipment and parts subject to wear, such as girders, bolts or cabling, are captured by cameras on the overhead conveyor of the assembly line. As soon as the AI-based system – connected to the camera – detects irregularities in the process, or a need for maintenance actions, it flags them in real time.

Magic Eye instantly compares its high-precision photographs against thousands of stored images. This enables it to detect departures from the optimal baseline conditions and to identify sources of error. The use of blue light ensures that the AI tool reliably differentiates between cracks and scratches and makes the correct diagnoses.

In addition, the system continuously expands its knowledge base. If it finds a worn bolt, for example, it marks the spot as error-free as soon as the part has been replaced and checked again. To evaluate detected deviations, the system uses information on irregularities it has identified in the past.

To enable further optimisation of the system and accelerate wider integration at its plants, Skoda has simulated a section of the assembly line. This ‘implementation arena’ can be used to experiment with different camera settings, configure system parameters and simulate damage to the assembly line.

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