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.