Levatas works with some of the largest businesses in the world to unlock the power and business value of automating industrial inspection with machine learning and computer vision. In this session, Levatas’ chief product officer, Daniel Bruce, breaks down the challenging landscape and unique disciplines that need to be stitched together in order to build a viable proof of concept, and scale beyond. His session merges the unique challenges of developing CV models, deploying models on advanced robots, and building human-in-the-loop protocols for cost and risk management. In doing so, Daniel will highlight real-world, cross vertical, use cases to show common pitfalls and practical advice for success in this exploding area of CV.
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