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AI驱动的机器视觉识别算法升级研究

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机器视觉识别作为AI领域的重要分支,其算法的性能直接影响系统的准确性、效率和可靠性。在数字化、智能化的时代背景下,对机器视觉识别算法进行升级已成为必然趋势。升级后的算法能够更好地适应复杂多变的应用场景,提高识别精度和速度,为各行业的发展提供有力支持。基于此,本文首先阐述AI驱动的机器视觉识别算法升级的重要性,其次,分析一个AI驱动的机器视觉识别算法升级案例,最后,提出几条AI驱动的机器视觉识别算法升级策略,以供参考。
AI-driven Research on Upgrading Machine Vision Recognition Algorithms
As an important branch in the field of AI,the performance of machine vision recognition algorithm directly affects the accuracy,efficiency and reliability of the system.Under the background of today's digitalization and intelligence era,upgrading the machine vision recognition algorithm has become an inevitable trend.Upgraded algorithms can better adapt to complex and changing application scenarios,improve recognition accuracy and speed,and provide strong support for the development of various industries.Based on this,this paper firstly describes the importance of AI-driven machine vision recognition algorithm upgrading,secondly analyzes an AI-driven machine vision recognition algorithm upgrading case,and finally proposes several AI-driven machine vision recognition algorithm upgrading strategies for reference.

AI-drivenmachine vision recognitionalgorithmsdigitizationapplication scenarios

王洪荣

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湖南省创新方法研究会,长沙 410502

AI驱动 机器视觉识别 算法 数字化 应用场景

2024

数码设计

数码设计

ISSN:1672-9129
年,卷(期):2024.(16)