光学学报, 2018, 38 (8): 0815001, 网络出版: 2018-09-06
机器视觉技术在现代汽车制造中的应用综述 下载: 2951次特邀综述
Review on Application of Machine Vision in Modern Automobile Manufacturing
机器视觉 汽车制造 视觉测量 视觉引导 视觉检测 machine vision automobile manufacturing visual measurement visual guidance visual inspection
摘要
随着机器视觉技术的迅速发展,计算机视觉技术的快速、精确、智能等特性在现代工业的各个领域已逐渐被广泛应用,尤其是在汽车制造业。机器视觉在工业领域的三大主要应用是视觉测量、视觉引导和视觉检测。视觉测量技术通过测量产品关键尺寸、表面质量、装配效果等,可以确保出厂产品合格;视觉引导技术通过引导机器完成自动化搬运、最佳匹配装配、精确制孔等,可以显著提升制造效率和车身装配质量;视觉检测技术可以监控车身制造工艺的稳定性,同时也可以用于保证产品的完整性和可追溯性,有利于降低制造成本。可以预见,随着相机、镜头、计算机等核心硬件性能的提升,以及图像处理、深度学习等软件技术的发展,视觉技术未来在各个领域的作用将更加凸显,发展空间也更加广阔。
Abstract
As the development of computer and machine vision technology, the rapid, accurate and intelligent characteristics of computer vision technology are widely used in the field of industrial detection. The three main applications of machine vision are measurement, guidance and inspection. The visual measurement technology can ensure the qualified products of the factory by measuring the key dimensions, surface quality and assembly effect of the product. The visual guidance technology can significantly improve manufacturing efficiency and body assembly quality by guiding the machine to complete automatic handling, optimum matching assembly and precise drilling. The visual inspection technology can monitor the stability of the body manufacturing process, and can also be used to ensure the integrity and traceability of the product to reduce the cost of manufacturing. Predictably, with the performance improvement of the core hardware such as cameras, lenses, computer and the development of software technology such as image processing and deep learning, machine vision technology will play a more important role in all areas in the future and there will be a wider space for development.
尹仕斌, 任永杰, 刘涛, 郭思阳, 赵进, 邾继贵. 机器视觉技术在现代汽车制造中的应用综述[J]. 光学学报, 2018, 38(8): 0815001. Shibin Yin, Yongjie Ren, Tao Liu, Siyang Guo, Jin Zhao, Jigui Zhu. Review on Application of Machine Vision in Modern Automobile Manufacturing[J]. Acta Optica Sinica, 2018, 38(8): 0815001.