Navigating the Complex Landscape of Automating Visual Inspection
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.
Our mission
Our mission is to help develop the next generation of machine intelligence specifically focusing on accelerating AI at the edge. For new and groundbreaking start-ups, we want to inspire and inform your journey, and for those giants in the space, we want to provide the tools you need to innovate and continue to propel your growth.
What we do
Since our inception, we’ve achieved a great deal. But we don’t rest on our laurels. We’re constantly looking for ways in which we can evolve and further engage, educate, and inspire our community. Got an idea? Great. We’d love to hear from you.