Advances and Challenges in Bio-Inspired Cameras Based on Flexible and Stretchable Optoelectronic Devices

被引:1
|
作者
Hwang, Joonha [1 ]
Kwon, Jong Ik [1 ,2 ]
Choi, Moon Kee [2 ]
Lim, Jung Ah [1 ,3 ]
Choi, Changsoon [1 ]
机构
[1] Korea Inst Sci & Technol, Postsilicon Semicond Inst, Ctr Optoelect Mat & Devices, Seoul 02792, South Korea
[2] Ulsan Natl Inst Sci & Technol UNIST, Dept Mat Sci & Engn, Ulsan 44919, South Korea
[3] Univ Sci & Technol Korea, Div Nano & Informat Technol, Daejeon 34113, South Korea
关键词
Bio-inspired camera; flexible optoelectronics; curved image sensor array; electronic eye; ARTIFICIAL COMPOUND EYE; INDEX OPTICAL-MODEL; MACHINE VISION; CRYSTALLINE LENS; SENSOR; SYSTEM; PHOTODETECTOR; ACCOMMODATION; ELECTRONICS; DESIGNS;
D O I
10.1109/JSTQE.2023.3308770
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cameras are a key element in machine vision, which are typically utilized in unmanned mobile devices. However, classical camera designs, which employ complementary metal-oxide-semiconductor image sensor arrays and multiple lenses, do not facilitate module miniaturization. Meanwhile, the structures and functions of biological eyes provide valuable insights for the development of future camera technologies, thus allowing miniaturized form factors and intriguing imaging characteristics to be realized. Here, we summarize recent advances in bio-inspired cameras based on flexible and stretchable optoelectronic devices. First, we present fabrication strategies of curved image sensor arrays using mechanical device designs and intrinsically deformable nanomaterials. Subsequently, we introduce two types of bio-inspired cameras, i.e., single-lens cameras and compound-eye cameras, with emphasis on their unique imaging characteristics and fundamental principles. Finally, we discuss the prospect of bio-inspired cameras, highlighting in-sensor processing strategies that can realize more efficient machine vision systems.
引用
收藏
页码:1 / 11
页数:11
相关论文
共 50 条
  • [21] Calibration, Registration, and Super Resolution with Bio-Inspired Cameras
    Hardy, Charles
    Lee, Charles H.
    Reininger, Francis M.
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS AND DIGITAL IMAGE PROCESSING (CGDIP 2017), 2017,
  • [22] THE NEXT CHALLENGES IN BIO-INSPIRED ROBOTICS
    Iida, Fumiya
    ICINCO 2011: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 2, 2011, : IS5 - IS5
  • [23] Bio-inspired computing: constituents and challenges
    Akerkar, Rajendra
    Sajja, Priti Srinivas
    INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2009, 1 (03) : 135 - 150
  • [24] THE NEXT CHALLENGES IN BIO-INSPIRED ROBOTICS
    Iida, Fumiya
    ICINCO 2011: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 1, 2011, : IS5 - IS5
  • [25] Advances in small droplets manipulation on bio-inspired slippery surfaces: chances and challenges
    Zhang, Wenhao
    Wang, Xiaobo
    Guo, Zhiguang
    MATERIALS HORIZONS, 2025,
  • [26] Recent advances on optoelectronic devices inspired by the compound eyes Bioinspired apposition compound eye cameras
    Song, Y. M.
    Park, H. G.
    2015 INTERNATIONAL CONFERENCE ON OPTICAL MEMS AND NANOPHOTONICS (OMN), 2015,
  • [27] Bio-inspired Bio-inspired computer vision based on neural networks
    Antón-Rodríguez M.
    González-Ortega D.
    Díaz-Pernas F.J.
    Martínez-Zarzuela M.
    de la Torre-Díez I.
    Boto-Giralda D.
    Díez-Higuera J.F.
    Pattern Recognition and Image Analysis, 2011, 21 (2) : 108 - 112
  • [28] Exosome-based nanocarriers as bio-inspired and versatile vehicles for drug delivery: recent advances and challenges
    Zhang, Mengjun
    Zang, Xinlong
    Wang, Mingyue
    Li, Zhen
    Qiao, Mingxi
    Hu, Haiyang
    Chen, Dawei
    JOURNAL OF MATERIALS CHEMISTRY B, 2019, 7 (15) : 2421 - 2433
  • [29] Advances in bio-inspired computing: Techniques and applications
    Jain, L. C.
    Lim, C. P.
    NEUROCOMPUTING, 2014, 125 : 183 - 183
  • [30] Special Issue on Advances in Bio-Inspired Robots
    Seo, TaeWon
    Yun, Dongwon
    Jung, Gwang-Pil
    APPLIED SCIENCES-BASEL, 2021, 11 (18):