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人工智能在工业质检领域快速落地,发展前景广阔

作者:王淼 出版日期:2022年11月 报告页数:11 页 报告大小: 报告字数:8862 字 所属丛书:工业和信息化蓝皮书 所属图书:人工智能发展报告(2021~2022) 浏览人数: 下载人数:

文章摘要:计算机视觉、深度学习等人工智能技术正在工业质检领域落地应用,有效助力工业企业改进产品质量、降低人工成本、提升生产效率。近年来,我国人工智能工业质检市场正快速发展,设备厂商、人工智能企业、传统行业企业等各类企业入局,不断推动市场格局的演进。人工智能工业质检已在3C电子、半导体、汽车制造等行业取得显著成效,正向钢铁、纺织、药品、食品等更多新兴应用场景拓展。与此同时,人工智能工业质检仍然存在复制推广性不强、算力成本较高、缺陷数据缺乏等问题,未... 展开

文章摘要:计算机视觉、深度学习等人工智能技术正在工业质检领域落地应用,有效助力工业企业改进产品质量、降低人工成本、提升生产效率。近年来,我国人工智能工业质检市场正快速发展,设备厂商、人工智能企业、传统行业企业等各类企业入局,不断推动市场格局的演进。人工智能工业质检已在3C电子、半导体、汽车制造等行业取得显著成效,正向钢铁、纺织、药品、食品等更多新兴应用场景拓展。与此同时,人工智能工业质检仍然存在复制推广性不强、算力成本较高、缺陷数据缺乏等问题,未来,随着多技术融合发展,人工智能将向更多工业质检领域拓展。

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Abstract:Artificial intelligence technologies such as computer vision and in-depth learning are being applied in the field of industrial quality inspection,effectively helping industrial enterprises improve product quality,reduce labor costs and improve production efficiency. In recent years,the AI quality inspection market of China is rapidly improving. Equipment manufacturers,artificial intelligence enterprises,traditional industry ente... 展开

Abstract:Artificial intelligence technologies such as computer vision and in-depth learning are being applied in the field of industrial quality inspection,effectively helping industrial enterprises improve product quality,reduce labor costs and improve production efficiency. In recent years,the AI quality inspection market of China is rapidly improving. Equipment manufacturers,artificial intelligence enterprises,traditional industry enterprises and other enterprises have entered the market,constantly promoting the evolution of the market pattern. AI industrial quality inspection has achieved remarkable results in 3C electronics,semiconductors,automobile manufacturing and other industries,and is expanding to more emerging application scenarios such as steel,textile,medicine and food. At the same time,AI industrial quality inspection still has some problems,such as weak replication and popularization,high computational cost and lack of defective data. In the future,with the development of multi-technology integration,AI will expand to more industrial quality inspection fields.

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作者简介

王淼:王淼,管理学博士,国家工业信息安全发展研究中心工程师,主要从事人工智能相关领域战略、政策、产业发展研究。