Authors
Luyao Huang, Tingyu Cheng, Xianzhe Zhang, Haichao Zhang, Tejonidhi Deshpande, Yuanqiao Li, Zhi Xu, Gregory D Abowd, Yun Fu, Yongmin Liu, Josiah Hester, Jun Li, Hongli Zhu
Published in
ACS nano. May 16, 2025. Epub May 16, 2025.
Abstract
The development of intelligent camouflage systems demands advanced materials and control strategies for dynamic environmental adaptation. Here, we demonstrate a bioinspired camouflage system using hydroxypropyl cellulose (HPC), a cellulose derivative that forms cholesteric liquid crystals with mechanically tunable structural colors. By integrating HPC fibers with computer vision-assisted control, we achieve autonomous color matching with the environment through precise mechanical manipulation. Our system employs computer vision and a custom-designed wavelength-value (WV) mapping algorithm to analyze surroundings and control fiber tension, enabling direct modulation of the reflected wavelength. The closed-loop control system achieves color matching with less than 5% error at room temperature and maintains over 95% accuracy across temperatures from 15 to 35 °C. The HPC fibers exhibit reversible color transitions spanning the visible spectrum (400-700 nm). This integration of sustainable biomaterials with computer vision-guided mechanical control demonstrates an alternative approach for advanced camouflage applications, including military concealment and anticounterfeiting technologies.
PMID:
40378248
Bibliographic data and abstract were imported from PubMed on 17 May 2025.
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