Application of Computer Image Recognition Technology in Ship Monitoring Direction

Wang, Renqiang; Miao, Keyin; Deng, Hua; Sun, Jianming

doi:10.1007/978-981-16-8558-3_18

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2024

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“…In addition, the team of Yangyongying from Zhejiang University and Wangchangshu conducted in-depth research [12,13] . Based on the fact that the human eye can observe defects from different angles, a single main view camera can not recognize some defects better than the human eye, this paper combines the existing image recognition technology and template registration technology, adds a side view camera and light source, and verifies the effectiveness of the equipment in the industrial field [14,15,16] .…”

Section: Introductionmentioning

confidence: 99%

A defect detection device for OLED panels

Li,

Cao,

Tao

et al. 2024

International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023)

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In the production process of OLED, the test equipment of each process section is an important guarantee to improve the output. In this paper, a defect detection device for OLED panel is developed, including an electrical control unit, an image acquisition mechanism, a light source assembly and an industrial computer. Output the detection results by analyzing and processing the acquired images. The system has good real-time performance, high efficiency and strong detection ability in industrial field application. It solves the technical problems such as long detection time, low efficiency and strong subjectivity in manual detection of OLED panel defects.

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Section: Introductionmentioning

confidence: 99%