Logo Detection and Localization for IC Authentication, Marking Recognition, and Counterfeit Detection

Abstract

In this manuscript, we present a new solution to logo detection on printed circuit boards (PCB). With the growing incidence of PCB counterfeits and Trojans, having a quick, automated PCB assurance tool is the need of the hour. Logo detection and verification is an important step in PCB assurance and counterfeit detection. In addition, text recognition in PCBs is made difficult due to logo interference, which can also be solved with our proposed solution. We describe our Deep Neural Network (DNN)-based algorithm along with a description of the dataset used. Finally, we present images as well as qualitative results using common object detection metrics to demonstrate the performance of our proposed approach.