基于AI机器视觉技术的网络哑资源智能管理研究

Rsesearch on intelligent management of network dumb resources based on AI visual analysis techniques

为了解决网络哑资源数据采集和数据核对的问题,本文通过对网络哑资源管理对象建立视觉分析模型、训练AI能力、嵌入全生命周期管理过程,形成一整套网络哑资源管理能力提升解决方案,网络哑资源识别准确率均值在97%以上,并大幅提升人工效率。AI技术是提升网络哑资源端到端管理能力的一种有效技术手段,后续有待进一步扩大应用场景与范围。

The purpose of this paper was to solve the problems of data collection and data verification of network dumb resources.By confirming the visual analysis model of the management objects of network dumb resources,training AI abilitys,and embedding the abilitys into the whole lifecycle management process,a complete set of solutions to improve the management ability of network dumb resources can be formed.The average recognition accuracy of network dumb resources is above 97%,and the artificial efficiency is greatly improved.AI technology is an effective technical means to improve the end-to-end management of network dumb resources,which must be expanded to further application scenarios and Scopes.