In challenging lighting conditions, machine vision often yields low-quality results. In situations where particular spectral signatures carry critical information, adapting the spectral sensitivity of visions systems to match the predominant spectra of the surrounding environment can improve light capture and image quality. Here we report spectra-adapted vision sensors based on arrays of back-to-back photodiodes. The spectral sensitivity of these bioinspired sensors can be tuned to match either the broadband visible spectrum or a narrow band within the near-infrared spectrum by applying different bias voltages. The process of spectral adaptation takes tens of microseconds, which is comparable with the frame rate (around 100 kHz) of state-of-the-art high-speed cameras. The spectral adaptation increases the Weber contrast of the scene by over ten times, resulting in increased recognition accuracy (from 33% to 90%) of features when exposed to intense visible-light glare.

在具有挑战性的照明条件下，机器视觉通常会产生低质量的结果。在特定光谱特征携带关键信息的情况下，调整视觉系统的光谱灵敏度以匹配周围环境的主要光谱可以改善光捕获和图像质量。在这里，我们报告了基于背靠背光电二极管阵列的光谱适应视觉传感器。通过施加不同的偏置电压，可以调整这些仿生传感器的光谱灵敏度，以匹配宽带可见光谱或近红外光谱内的窄带。光谱适应过程需要数十微秒，与最先进的高速相机的帧速率（约 100kHz）相当。光谱适应将场景的韦伯对比度提高了十倍以上，从而提高了暴露在强烈的可见光眩光下时特征的识别准确度（从 33% 到 90%）。