信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2018, Vol. 44 ›› Issue (9): 59-62.

上一篇    

计算机视觉技术及产业化应用态势分析

Computer vision technology and industrial application situation analysis

  

  • 出版日期:2018-09-15 发布日期:2020-12-15

  • Online:2018-09-15 Published:2020-12-15

摘要: 计算机视觉是人工智能的重要发展方向,能够极大地改善人与世界的交互方式。计算机视觉基本要素包括数据、算法模型和运算力,核心技术涉及图像分类、对象检测、目标跟踪、语义分割和实例分割。计算机视觉算法技术层壁垒高,硬件层资本密集、巨头众多,应用层市场较为分散,我国中上游技术水平有待提升,技术融合创新、新型算法研发及成本的降低、GPU 芯片技术及产业化等仍面临严峻挑战。此外,前端智能化、前后端协同计算和软硬件一体化成为明显发展趋势,数据和应用场景将成为企业布局的关键点,深度学习和卷积神经网络将推动计算机视觉持续优化升级。未来,我国应从强化产业链协同发展、大力开展技术攻关、支持挖掘未来场景应用等方面打造本土计算机视觉产业集群,提升产业国际竞争实力。

关键词: 人工智能, 计算机视觉, 深度学习, 前端智能化

Abstract: Computer vision is an important development direction of artificial intelligence, which can greatly improve the way people interact with the world. The basic elements of computer vision include data, algorithm models and computing power. The core technologies involve image classification, object detection, target tracking, semantic segm entation and instance segmentation. The computer visual algorithm technology layer has high barriers, the hardware layer is densely populated, the giants are numerous, and the application layer market is relatively scattered. The technology level of China's middle and upstream of the industry needs to be improved, white technology integration innovation, new algorithm development and cost reduction, GPU chip technology and industrialization are still Faced with severe challenges. In addition, front-end intelligence, front-end collaborative computing and software and hardware integration have become a clear development trend. Data and application scenarios will become the key points of enterprise layout. Deep learning and convolutional neural networks will promote continuous optimization and upgrade of computer vision. In the future, China should build a local computer vision industry cluster from the aspects of strengthening the coordinated development of the industrial chain, vigorously carrying out technical research, and supporting the application of future scenarios, and enhance the international competitiveness of the industry.

Key words: artificial intelligence, computer vision, deep learning,  , front-end intelligence