Visible‐Blind Near‐Infrared Organic Vision Sensors for Imaging in Adverse Environmental Conditions
Abstract
Achieving reliable imaging under adverse environmental conditions, such as fog, haze, and low visibility, is essential for applications in autonomous driving, surveillance, and machine vision. Visible-blind near-infrared (NIR) organic photodetectors (OPDs) present a compelling solution by enhancing NIR detection while suppressing interference from ambient visible light. However, balancing strong visible-light attenuation with high NIR sensitivity remains a significant challenge. In this work, we introduce a high-performance visible-blind NIR OPD with a multilayer GaP/MgF 2 /ZnSe optical modulation layer (OML) optimized through high-throughput optical screening. This design synergistically delivers both strong visible-light attenuation and pronounced NIR enhancement, enabling OPDs to achieve a responsivity of 0.32 A/W and a specific detectivity of 6.79 × 10 12 Jones at 1050 nm under -1.0 V, accompanied by significantly improved spectral selectivity. Monolithic integration of a 64 × 64 OPD array with a thin-film transistor backplane yields a vision sensor capable of high-contrast NIR imaging and pattern recognition even in foggy or low-light conditions. This OML-enabled visible-blind NIR OPD strategy establishes a scalable and reliable platform for advanced machine vision, with strong potential for next-generation environmental monitoring, autonomous vehicles, and security systems.
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BibTeX
@article{deng2026visibleblind,
title = {{Visible‐Blind Near‐Infrared Organic Vision Sensors for Imaging in Adverse Environmental Conditions}},
author = {Baozhong Deng and Kean Lu and Zhouyi Lu and Yi Li and Gaoyu Dai and Luqiao Yin and Zihan Wang and Bruno Grandidier and Tao Xu and Furong Zhu},
journal = {Advanced Optical Materials},
year = {2026},
month = sep,
doi = {10.1002/adom.71858},
url = {https://hal.science/hal-05835542v1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Visible‐Blind Near‐Infrared Organic Vision Sensors for Imaging in Adverse Environmental Conditions
AU - Baozhong Deng
AU - Kean Lu
AU - Zhouyi Lu
AU - Yi Li
AU - Gaoyu Dai
AU - Luqiao Yin
AU - Zihan Wang
AU - Bruno Grandidier
AU - Tao Xu
AU - Furong Zhu
PY - 2026
DA - 2026/09/25
JO - Advanced Optical Materials
DO - 10.1002/adom.71858
UR - https://hal.science/hal-05835542v1
AB - Achieving reliable imaging under adverse environmental conditions, such as fog, haze, and low visibility, is essential for applications in autonomous driving, surveillance, and machine vision. Visible-blind near-infrared (NIR) organic photodetectors (OPDs) present a compelling solution by enhancing NIR detection while suppressing interference from ambient visible light. However, balancing strong visible-light attenuation with high NIR sensitivity remains a significant challenge. In this work, we introduce a high-performance visible-blind NIR OPD with a multilayer GaP/MgF 2 /ZnSe optical modulation layer (OML) optimized through high-throughput optical screening. This design synergistically delivers both strong visible-light attenuation and pronounced NIR enhancement, enabling OPDs to achieve a responsivity of 0.32 A/W and a specific detectivity of 6.79 × 10 12 Jones at 1050 nm under -1.0 V, accompanied by significantly improved spectral selectivity. Monolithic integration of a 64 × 64 OPD array with a thin-film transistor backplane yields a vision sensor capable of high-contrast NIR imaging and pattern recognition even in foggy or low-light conditions. This OML-enabled visible-blind NIR OPD strategy establishes a scalable and reliable platform for advanced machine vision, with strong potential for next-generation environmental monitoring, autonomous vehicles, and security systems.
SN - 2195-1071
ER -