跨物种 - 奇梅拉机器视觉与极度测量用于实时导航和反光模式识别
Tao Guo1,2, Shasha Li1, Y Norman Zhou2
1School of Physics, Henan Normal University, Henan, 453007, China.
Nature communications
|August 7, 2024
概括
研究人员创造了一种新型的memtransistor模仿物种间视觉. 该设备提供极化灵敏度和非挥发性内存,可实现用于导航和认知任务的先进机器视觉,并降低能耗.
科学领域:
- 光电学是指光电子产品.
- 材料科学 材料科学 材料科学
- 生物模拟系统 生物模拟系统
背景情况:
- 目前的机器视觉系统缺乏用于导航和真实图像感知所必需的极度测量功能.
- 从多个物种 (人类和非人类) 实现多样化的视觉功能到单个光电子设备中仍然是一个重大挑战.
- 跨物种 - 奇梅拉视觉,结合各种宿主的能力,有望实现先进的机器视觉.
研究的目的:
- 开发一种能够集成各种视觉功能的光学控制的极度测量晶体管.
- 创建一个具有极化灵敏度,非挥发性和双模式光导性的设备.
- 通过模仿和超越生物视觉系统来推进机器视觉.
主要方法:
- 使用ReS2/GeSe2.2.制造一个范德瓦尔斯异构结构的memtransistor.
- 对memtransistor的极度测量和内存功能进行光学控制.
- 极化灵敏度,非挥发性和正/负光导的整合.
主要成果:
- 开发的孟晶体管展示了同时极化灵敏度,非挥发性和双模式光导性.
- 该设备成功地识别了用于导航的天体极化,类似于蜜蜂视觉.
- 它通过感知,记忆和突触功能执行认知任务,模仿人类视觉.
- 使用极度测量来识别反光,比传统系统节省了数量级的能量.
结论:
- ReS2 / GeSe2 晶体管代表了物种间 - 奇梅拉视觉系统的重大进步.
- 这项技术可以在单一设备中实现实时导航和认知处理.
- 这些发现为改进的自动驾驶汽车,医疗诊断和智能机器人技术铺平了道路.
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