数码设计Issue(21)：39-41,3.
基于AI视觉的物联网智能安防系统设计
Design of IoT Smart Security System Based on AI Vision
摘要
Abstract
With the rapid development of Internet of Things(IoT)technology and artificial intelligence,traditional security systems can no longer meet modern society's safety requirements.By combining deep learning-based computer vision technology with IoT architecture,an intelligent security system has been constructed.The system utilizes improved deep object detection algorithms to achieve real-time multi-object recognition,employs edge computing to reduce system latency,and establishes a distributed architecture to enhance system scalability.Experimental results demonstrate that the system achieves high object detection accuracy in complex scenarios,features short response times,and shows significant performance improvements over traditional security systems,providing a new technical solution for smart security.关键词
人工智能/物联网/智能安防/目标检测/边缘计算Key words
artificial intelligence/internet of things/smart security/target detection/edge computing分类
信息技术与安全科学引用本文复制引用
郭子川,褚华川..基于AI视觉的物联网智能安防系统设计[J].数码设计,2024,(21):39-41,3.基金项目
文章基于2023年河南省职业教育教学改革研究与实践项目"数字化转型背景下的电子类专业新型学徒制课程体系建设实践研究"[项目编号:豫教(2024)05533]. （2024）
