A Review on Automatic Bill of Material Generation and Visual Inspection on PCBs

Mukhil Azhagan M. S, Dhwani Mehta, Hangwei Lu, Sudarshan Agrawal, M. Tehranipoor, D. Woodard, N. Asadizanjani, Praveen Chawla
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引用次数: 18

Abstract

Globalization and complexity of the PCB supply chain has made hardware assurance a challenging task. An automated system to extract the Bill of Materials (BoM) can save time and resources during the authentication process, however, there are numerous imaging modalities and image analysis techniques that can be used to create such a system. In this paper we review different imaging modalities and their pros and cons for automatic PCB inspection. In addition, image analysis techniques commonly used for such images are reviewed in a systematic way to provide a direction for future research in this area. Index Terms—Component Detection, PCB, Authentication, Image Analysis, Machine Learning
多氯联苯物料清单自动生成及目视检测研究进展
PCB供应链的全球化和复杂性使硬件保证成为一项具有挑战性的任务。自动提取物料清单(BoM)的系统可以在认证过程中节省时间和资源,然而,有许多成像模式和图像分析技术可用于创建这样的系统。本文综述了用于PCB自动检测的不同成像方式及其优缺点。此外,对此类图像常用的图像分析技术进行了系统的综述,为该领域的未来研究提供了方向。索引术语-组件检测,PCB,认证,图像分析,机器学习
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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