Future devices will continue to probe the frontier of the very small, and at scales where functionality depends on mere atoms, even the tiniest flaw matters. Researchers at Rice University have shown ...

Abstract: To improve the accuracy of plastic recycling facilities this paper introduces an Internet of Things (IoT)driven defect detection system that uses Convolutional Neural Networks (CNNs).

Abstract: In order to solve the problems of low recognition accuracy, many model parameters and large computation in the current steel surface defect detection algorithms. This paper proposes a steel ...