PROMOTED: Implementation Fundamentals for Computer Vision in Automated Inspection

Computer vision has changed the way the industry thinks about automated inspection. In many cases, computer vision makes inspection easier and more reliable than human inspection or traditional machine vision technologies. However, the workflow and approach to applications may not be familiar to those new to deep learning systems.

In this discussion, Killough reviews how computer vision and deep learning provide value to automated inspection applications, the best practices for successful implementation, some real-world application examples, and some recent key technology advances that are making computer vision better and easier than ever.

Killough will detail the value of computer vision in automated inspection and an overview of implementation best practices and techniques. Other section topics include application examples and key technology advancements.

About the presenter
Quinn Killough, director of business development for Landing AI, is driven by the goal of empowering enterprises to achieve value from AI. At Landing AI, he collaborates with manufacturers to deliver AI-powered solutions with a focus on computer vision. Leveraging his engineering background and experience in manufacturing, traditional machine vision, and machine learning, Killough has a proven track record of deploying game-changing computer vision solutions.