Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Bangbang Chen"'
Publikováno v:
IEEE Access, Vol 12, Pp 126244-126257 (2024)
The accurate and rapid identification of safflower filaments is a prerequisite for automating harvesting. This paper proposes a lightweight, high-precision detection model for safflower filaments based on YOLOv5s, named YOLOv5s-MCD, to address the is
Externí odkaz:
https://doaj.org/article/6bdcb9ba7fa04574978deb3c7e992afe
Publikováno v:
Sensors, Vol 24, Iss 14, p 4483 (2024)
Addressing the limitations of current railway track foreign object detection techniques, which suffer from inadequate real-time performance and diminished accuracy in detecting small objects, this paper introduces an innovative vision-based perceptio
Externí odkaz:
https://doaj.org/article/8dfe0191b6e7480eb8618e8e5c6f333a
Publikováno v:
Sensors, Vol 24, Iss 13, p 4410 (2024)
The identification of safflower filament targets and the precise localization of picking points are fundamental prerequisites for achieving automated filament retrieval. In light of challenges such as severe occlusion of targets, low recognition accu
Externí odkaz:
https://doaj.org/article/24c828d5fcce4d639bb69aa3f76cdfc5