基于边缘AI的隐私保护智能监控系统
Soohee Kim1, Joungmin Park1, Youngwoo Jeong1
1Department of Electronic Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea.
Micromachines
|September 28, 2023
概括
本研究介绍了一个智能边缘AI监控系统,用于单独生活的老年人,增强隐私和成本效益. 该系统实现了高精度,解决了传统基于服务器的监控方面的问题.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 电气工程 电气工程
背景情况:
- 越来越多的独自生活的老年人需要先进的监控解决方案.
- 现有的基于传感器的监控系统经常面临成本效益高的维护和数据隐私方面的挑战.
- 服务器依赖的架构存在个人信息泄露和通信瓶的风险.
研究的目的:
- 提出一个智能监控系统,利用最先进的人工智能 (AI) 来提高隐私和成本效益.
- 开发一个系统,通过在边缘AI模块上本地处理数据来减轻隐私风险.
- 通过边缘计算提高数据流量管理的效率.
主要方法:
- 使用Verilog硬件描述语言 (HDL) 设计了一个边缘AI模块.
- 边缘人工智能模块是在可编程现场网关阵列 (FPGA) 上实现的.
- 系统架构旨在阻止摄像头模块和服务器之间的直接通信,在边缘处理数据.
主要成果:
- 拟议的边缘人工智能系统在6144中实现了95.34%的精度.
- 使用180nmCMOS技术的合成结果显示,门数为1,516,000 (1516K) 和功耗为344.44mW.
- 边缘人工智能方法展示了成本竞争力和通过本地化数据处理增强安全性.
结论:
- 开发的边缘人工智能监控系统为独自生活的老年人提供了一个安全,私密和经济有效的解决方案.
- 边缘计算显著提高了数据流量效率,并减少了对集中式服务器的依赖.
- FPGA的实施证明了拟议的保护隐私的监控系统的可行性和性能.
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