Rapid Localization Technology for Industrial Visual Targets in Dynamic Scenes
Abstract
gradually becoming the core driving force in the field of industrial automation. With the intensification of market competition and the continuous changes in user demands, traditional manual detection and positioning methods are no longer able to meet the efficient, accurate, and
flexible requirements of modern industrial production. Therefore, developing a technology that can quickly and accurately identify and locate
target objects in complex dynamic environments is of great significance for improving production efficiency, ensuring product quality, and
enhancing enterprise competitiveness.
Keywords
Full Text:
PDFReferences
[1] Yao Cuiping Research on Object Recognition and Localization System of Sorting Robots under the Integration of Industrial Vision
Technology [J]. Development and Innovation of Mechanical and Electrical Products, 2024, 37 (06): 83-86
[2] Li Shipeng, Fang Yun Accurate positioning of visual servoing system targets under multiple constraint conditions based on optimized
YOLO algorithm [J]. Mechanical and Electrical Engineering Technology, 2023, 52 (10): 149-154
[3] Zhang Yifan, Qin Xinyu, Wang Wenliang, etc Real time obstacle avoidance for industrial vehicles based on binocular positioning and
distance measurement [J]. Computer System Applications, 2022, 31 (08): 192-202
[4] Liu Hailong, Zhang Lei, Wu Haibo Research on Stereoscopic Localization Technology for Industrial Robots Based on Dual Vision
Guidance [J]. Electrical Automation, 2021, 43 (01): 116-118
DOI: http://dx.doi.org/10.70711/aitr.v2i8.6646
Refbacks
- There are currently no refbacks.