Conductive particle target detection algorithm based on improved YOLO11n
Image Processing|更新时间:2025-12-24
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Conductive particle target detection algorithm based on improved YOLO11n
“In the field of flexible glass bonding and packaging technology, researchers have proposed the FSL-YOLO11n algorithm, which effectively improves the efficiency of conductive particle detection and provides an efficient solution for industrial testing.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 12, Pages: 1853-1867(2025)
作者机构:
1.东华理工大学 电子与电气工程学院, 江西 南昌 330013
2.广东锦嘉电子有限公司, 广东 惠州 516029
作者简介:
基金信息:
National Natural Science Foundation of China(61961001;62061001);Natural Science Foundation of Jiangxi Province(Jiangxi Natural Science Foundation)(20232ACB202004);Jiangxi Major Science & Technology R&D Special Project(20233AAE02008);Fuzhou Major(Top Talent Project)(2024JCA04)
ZENG Zihao, LIU Peng, DENG Wenjuan, et al. Conductive particle target detection algorithm based on improved YOLO11n[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(12): 1853-1867.
DOI:
ZENG Zihao, LIU Peng, DENG Wenjuan, et al. Conductive particle target detection algorithm based on improved YOLO11n[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(12): 1853-1867. DOI: 10.37188/CJLCD.2025-0178. CSTR: 32172.14.CJLCD.2025-0178.
Conductive particle target detection algorithm based on improved YOLO11n