铁电光电子传感器用于智能火焰检测和传感器内运动感知
Jiayun Wei1, Guokun Ma1, Runzhi Liang1
1School of Integrated Circuits, Hubei University, Wuhan, 430062, People's Republic of China.
Nano-micro letters
|January 12, 2026
概括
研究人员开发了一种新的Ga2O3/In2Se3铁电光电子传感器阵列,用于超弱紫外线光的检测. 这种先进的火焰检测系统能够精确识别运动和光线,提高了消防安全技术.
科学领域:
- 材料科学 材料科学 材料科学
- 光电学是指光电子产品.
- 人工智能的人工智能
背景情况:
- 下一代消防安全需要先进的火焰检测和运动识别.
- 传感器内计算对于火焰检测中的集成传感和处理至关重要.
- 微弱的紫外线检测能力限制了当前在太阳盲紫外线频段的人工视觉系统.
研究的目的:
- 开发一种基于Ga2O3/In2Se3异质连接的新型铁电光电子传感器 (Fe-OES) 阵列.
- 为了实现超弱紫外线光检测,具有高检测能力和可配置的多模式功能.
- 为了证明硬件级的功能能力,用于火焰检测和识别.
主要方法:
- 一个5x5像素的Ga2O3/In2Se3 Fe-OES阵列的制造.
- 使用铁电调节来增强紫外线光的检测.
- 集成Fe-OES与漏洞集成和火神经元硬件和神经形态系统.
- 采用轻量级卷积神经网络和光敏感人工神经系统进行火焰处理.
主要成果:
- 证明了具有超高检测能力的超弱紫外线光检测.
- 成功模拟了昆虫视觉系统神经元用于火焰运动传感.
- 通过终端和基于云的报警实现了高效的火焰检测.
- 在火焰运动识别方面获得了96.47%的准确性,在火焰光识别方面获得了90.51%.
结论:
- 该Ga2O3 / In2Se3 Fe-OES阵列为先进的火焰检测提供了一个有前途的解决方案.
- 铁电调节和神经形态集成增强紫外线感应能力.
- 这项技术为复杂的火焰检测和识别任务提供了有效的工具,改善了消防安全系统.
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