Making Visual AI Standard Practice in Complex Manufacturing
Blog post from Roboflow
Brian Ton, senior laboratory manager at Florida Crystals, shares his insights on implementing visual AI in complex manufacturing, emphasizing the importance of change management over technology choice. He highlights the necessity of a robust validation and verification system, ensuring accessibility across organizational levels, and maintaining proximity to subject matter experts. Ton underscores the significance of an operator feedback loop in AI systems, which acts as quality control for AI tools. His approach involves achieving small victories to demonstrate value and build trust in visual AI systems, rather than pursuing overly ambitious projects that can lead to discouragement and abandonment. Persistence, rather than technology itself, is identified as a key factor in successfully integrating visual AI into standard operations.
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