AI data analytics for the paintshop

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The presence of any airborne dust in a paintshop always presents a challenge to creating a high-quality paint finish. Effective filtration is the most basic way to prevent contamination but for BMW that is not enough.  Mike Farish reports on how the OEM is using artificial intelligence (AI) and data analytics to develop better preventative measures

For BMW the principal aim has been to devise a methodology using real-time readings from sensors in the paintshop that can be evaluated against a database of potentially damaging factors to allow for immediate, proactive measures to be taken to ensure that paint quality is not compromised and to support longer term process improvement

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