基于热红外探测器和用于加密视觉信息传输的memristor的近传感器神经形态计算系统
Zheng Wang1,2, Jinhao Zhang1,2, Zhenyu Zhang3
1School of Integrated Circuits, Shandong University, Jinan 250100, China.
Nano letters
|May 6, 2025
概括
本研究介绍了一种集成的红外探测器和memristor系统,用于安全的近传感器神经形态计算. 该系统擅长处理视觉和语音数据,以提高信息安全性和识别能力.
科学领域:
- 光电子学和神经形态工程学
- 先进的传感器技术 传感器技术
- 信息安全 信息安全
背景情况:
- 传统的光检测器仅限于可见光,这给安全带来了挑战.
- 近传感器计算在数据处理和传输效率方面提供了优势.
- 记忆器是内存计算和神经形态应用的关键组件.
研究的目的:
- 开发一个集成的近传感器神经形态计算系统,使用热电红外探测器和记忆器.
- 评估系统在红外探测,信息处理和安全应用中的性能.
- 证明系统对多模式信息识别和加密的能力.
主要方法:
- 一个热电红外探测器与一个用于综合传感和计算的memristor的集成.
- 描述系统的检测范围,响应时间和神经形态计算能力.
- 实施和测试手写数字识别,近红外视觉识别和语音识别用于加密.
主要成果:
- 综合系统展示了广泛的检测范围 (100-310°C) 和对红外信号的快速响应.
- 实现了手写数字和近红外视觉信息的高精度识别.
- 通过成功的语音识别来实现双重信息加密,突出了安全潜力.
结论:
- 拟议的系统为近传感器神经形态计算提供了一种新的方法,用于红外频谱应用.
- 红外探测与基于memristor的计算的集成增强了安全和识别能力.
- 这项技术在敏感环境中对安全信息传播,加密和识别具有重大前景.
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