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Revolutionizing Slab Casting: Unveiling the Power of AI and Computer Vision

  • Loïc Fracheboud,
  • Julien Valloton,
  • Frederik Rummens

摘要

In the aluminumAluminum industry, slab castingCasting is a critical step to ensure high-quality products. Despite this importance, the industry lacks a reliable and accurate system capable of tracking how the process is evolving. GAP Engineering SA has the ambition to give eyes to the operators, by using cameras and images to monitor the ingot during the castingCasting process and to give them insights about the process by using the power of Computer Vision (CV), Machine Learning (ML)Machine Learning (ML), and Artificial IntelligenceArtificial intelligence (AI). On the business side, this development intends to bring novelty to the industry, by proposing a new product to the customers. In the first stage, our solution tracks the dynamic evolution of the butt curl in real time, eliminating the need for costly and invasive sensors. By harnessing the potential of AI to standard cameras and taking advantage of production data, our innovation predicts the ingot's future development with precision. Process managers gain unparalleled control, foreseeing potential ingot failures and avoiding wasting time, resources, and energyEnergy. With the help of a Digital TwinDigital twins, the system can be used to finely tune the castingCasting parameters to achieve the desired product quality. The HAWKEYE project is currently being developed and tested in collaboration with AluminumAluminum Duffel BV (AD). Thanks to the innovative vision of the partners and the equipment already in place on the G6 castingCasting machine, we can use the data presented by the castingCasting pit to refine our models.