#Complex Diagnostics of Machinery #Innovation #Artificial intelligence #Predictive maintenance
Project's goal
Results
Meeting description
On 21.2.2023, the Škoda Auto Central Technical Service Department held a meeting with journalists. The event, called FabLab Meet, presented in detail interesting projects related mainly to predictive maintenance and digitalization.
Through this event, journalists were able to see in detail, or even try out, 3D printing technologies, the LoRaWAN network, the Scholaris digital manual creation tool, one of the first private 5G networks in the Czech Republic or the implementation arena of the Magic Eye predictive maintenance system.
The technologies used at Škoda Auto a.s. have captivated local and global media. The published articles have been read by several million readers in total - the most interesting ones can be found here:
Časopis Chip (CZ): https://www.chip.cz/novinky/skoda-auto-umela-inteligence-pri-vyrobe-enyaqu-a-ukazka-internich-navodu/
Deník e15 (CZ): https://www.e15.cz/byznys/prumysl-a-energetika/skoda-auto-hlida-vyrobu-octavii-a-enyaqu-magickym-okem-touzi-po-nem-i-porsche-1396744
Televize První Boleslavská (CZ): https://www.youtube.com/watch?v=id9KQzqUa3c
Časopis Czech Industry (CZ): https://www.casopisczechindustry.cz/products/skoda-auto-kamerovy-system-magic-eye-vcas-odhali-potrebu-udrzby-na-vyrobni-lince
Škoda Storyboard (CZ, EN, DE): https://www.skoda-storyboard.com/de/pressemitteilungen-archive/skoda-auto-kamerasystem-magic-eye-erkennt-fruehzeitig-wartungsbedarf-an-der-fertigungslinie/
Automotive World (GB): https://www.automotiveworld.com/news-releases/skoda-auto-magic-eye-camera-system-quickly-identifies-maintenance-needs-on-the-assembly-line/
Autocar Professional (GB): Skoda uses AI-driven camera system to identify maintenance needs on assembly line | Autocar Professional
Bcar (CHI): https://m.bcar.com.cn/showinfo-35-158153-0l
Project solvers
Ing. Jan Effenberk
Predictive maintenance and digitization coordinator
Ing. Vladislav Andronov
Project Coordinator of Smart Maintenance