From Fabric Classification to Assessing Plastics Injection Molding: How Deep Learning is Transforming the Inspection Game

Explore machine vision applications that are well suited for deep learning, including application examples in plastics injection molding, weld surface inspection, fabric classification, and metal surface inspection with guidance from Davis, the lead engineer at Deepview. He also covers the best practices for evaluating the feasibility of deep learning as a potential solution for inspection applications, and the estimated time and effort of data labeling, neural network training, and production runoff for a given application.

About the presenter
Eliyahu Davis joined Deepview AI in 2019 and serves as lead engineer. He is responsible for camera architecture, software engineering, and translating user requirements into new functionality there. Prior to Deepview, he worked as a software engineer at Avionica and NASA, supporting flight software engineering programs. Davis holds a bachelors in computer engineering from the University of Miami.