首页|基于视觉识别的通信工程AI巡检技术研究

基于视觉识别的通信工程AI巡检技术研究

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为了能更切实地提高通信工程巡检的准确性和可靠性,提出了一种基于视觉识别的通信工程AI巡检技术.对相应的系统架构、视觉识别算法、深度学习模型进行了讨论,通过仿真测试,明确了实时巡检系统的运行情况.结果显示,系统能够很好地适应通信工程巡检的要求,相较于传统巡检方法,在巡检效率和巡检结果准确度方面有着明显提升.
Research on AI Inspection Technology of Communication Engineering Based on Visual Recognition
In order to effectively improve the accuracy and reliability of communication engineering inspection,an AI inspection technology for communication engineering based on visual recognition is proposed,the correspond-ing system architecture,visual recognition algorithm and deep learning model are discussed,and the operation of the real-time inspection system is clarified through simulation test.The results show that the system can adapt well to the requirements of communication engineering inspection,and compared with the traditional inspection method,the inspection efficiency and the accuracy of inspection results have been significantly improved.

Visual identityCommunication engineeringAI inspectionDeep learning

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公诚管理咨询有限公司 广东 广州 510630

视觉识别 通信工程 AI巡检 深度学习

2024

科技资讯
北京国际科技服务中心 北京合作创新国际科技服务中心

科技资讯

影响因子:0.51
ISSN:1672-3791
年,卷(期):2024.22(23)