New technologies are becoming increasingly important for optimizing the operation of production lines. For example, Skoda says he makes extensive use of image recognition based on artificial intelligence ensure timely identification of maintenance needs on assembly lines.
So, at the factory Mlada Boleslavthe automaker has installed a system that constantly monitors the assembly line equipment, which, using artificial intelligence, can detect irregularities in processes and determine any necessary interventions.
The brand says that images of equipment and wear parts such as beams, bolts or wiring, fixed by cameras mounted on the conveyor belt above the assembly line. If the computer using the artificial intelligence system detects any problem or the need for maintenance, it will report this in real time.
They are constantly compared high-precision photos taken by cameras with saved. This procedure allows you to detect any deviations from the optimal baseline conditions and identify sources of errors. The use of blue light ensures that the instrument reliably distinguishes between cracks and scratches and makes a correct diagnosis. In addition, the system continues to improve its accuracy over timeexpanding your knowledge base. For example, if it finds a worn bolt, once the part is replaced and re-inspected, it can report that location as no error. To evaluate detected deviations, the system uses information about violations identified in the past.
This system is currently used on the assembly line of the Enyaq iV and Octavia models. Miroslav SteiskalSkoda Auto Central Technical Service Preventive Maintenance Coordinator commented:
Skoda Auto uses preventive maintenance as a tool to ensure that production equipment is always in perfect working order. The artificial intelligence system constantly checks the state of the process against optimal conditions. It is trained to detect certain patterns by constantly adding new data to its database and recognizing changes instantly. This allows us to respond quickly, optimize the efficiency of our processes and ensure that our production capacity is used as efficiently as possible.
Source: HD Motori
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