您当前的位置:
首页 >
文章列表页 >
PCB defect detection based on ZYNQ and YOLO26n
Image Processing | 更新时间:2026-10-16
    • PCB defect detection based on ZYNQ and YOLO26n

    • Chinese Journal of Liquid Crystals and Displays   Vol. 41, Issue 9, Pages: 1315-1324(2026)
    • DOI:10.3724/CJLCD.2026-0138    

      CLC: TP391.41;TP274
    • CSTR:32172.14.CJLCD.2026-0138    
    • Received:23 July 2026,

      Revised:2026-08-20,

      Published:05 September 2026

    移动端阅览

  • YAN Fei, SHAO Junnan, WANG Xiangyu, et al. PCB defect detection based on ZYNQ and YOLO26n[J]. Chinese Journal of Liquid Crystals and Displays, 2026, 41(9): 1315-1324. DOI: 10.3724/CJLCD.2026-0138. CSTR: 32172.14.CJLCD.2026-0138.

  •  
  •  

0

Views

2

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Design of heterogeneous FPGA hardware accelerator based on CNN
Hardware acceleration design and implementation of color interpolation algorithm based on HLS
OLED driver design based on Zynq
A spatiotemporal consistency-based robust fusion method for collaborative perception
Low-light images enhancement via unsaturated stochastic resonance based on Gaussian radial basis functions

Related Author

PENG Peng
WANG Xiangyu
SHAO Junnan
GAO Tan
JI Haolin
XU Wei
PIAO Yongjie
WU Xiaobin

Related Institution

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
University of Chinese Academy of Sciences
Key Laboratory of Space-based Dynamic & Rapid Optical Imaging Technology, Chinese Academy of Sciences
School of Computer Science and Technology, Xi'an University of Posts and Telecommunications
ULAB Co., Ltd.
0