基于多层 γ-InSe 片的生物视觉适应功能的自动供电和宽带光学传感器
Weizhen Liu1, Xuhui Yang1, Zhongqiang Wang1
1Key Laboratory of UV-Emitting Materials and Technology of Ministry of Education, Northeast Normal University, 130024, Changchun, China.
Light, science & applications
|July 24, 2023
概括
研究人员为生物机器人开发了一种单一的光学传感器,模仿人类眼睛的适应. 该设备有效地调整光线,改善人工视觉系统.
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.
- 机器人技术 机器人技术 机器人技术
背景情况:
- 视觉适应对于智能生物机器人的人工视觉系统至关重要.
- 传统系统需要复杂的电路和算法,阻碍了效率和简单性.
- 开发用于视觉适应的综合,单一设备解决方案是关键的研究目标.
研究的目的:
- 开发一种单一,高效的光传感器设备,模拟人类视觉适应.
- 取代复杂的传统方法,为人工视觉提供简化,综合的解决方案.
- 探索一种用于光电子设备视觉适应的新型工作机制.
主要方法:
- 使用多层 γ-InSe 片制造一个双终端光传感器.
- 研究一种新的工作机制,结合光热电和光热电效应.
- 评估设备的自动供电操作和适应行为在宽带频谱.
主要成果:
- 开发的光学传感器成功模拟了类似于人类眼睛的视觉适应行为.
- 该设备展示了从紫外线到近红外线波长的宽带光感应适应性.
- 实现了几乎完全的光敏感性恢复 (99.6%) 和协同的视觉适应.
结论:
- 单一的 γ-InSe 光传感器为人工视觉适应提供了一种高效且简单的方法.
- 这种进步鼓励开发智能光学传感器和增强的机器视觉系统.
- 该设备的自动供电,与人眼相似的适应,为更复杂的生物机器人铺平了道路.
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