Machine Vision Application Solution for Fiber Optic Defect Detection
Project Background: Fiber optic gyroscopes are instruments that accurately determine the orientation of moving objects. They are widely used in modern aviation, navigation, aerospace, and defense industries as inertial navigation instruments, and their development is of strategic importance to a country's industrial, defense, and other high-tech sectors. The core component of a fiber optic gyroscope is the fiber optic coil, which is a circular coil wound from optical fibers according to certain rules. The winding quality of the fiber optic coil is a key factor affecting the performance of the fiber optic gyroscope. During the actual winding process, some winding defects may occasionally occur, such as "overlap", "collapse", "excessive gap, unevenness", etc. Additionally, the optical fiber itself may also have cracks, damage, compression, etc. Detecting defects in the fiber optic coil winding is an important step in the production process. Traditional fiber optic defect detection relies on manual inspection, which is inefficient and subjective. Using machine vision for fiber optic defect detection can greatly improve detection efficiency and accuracy. However, in the process of using vision for automated detection, there are many technical challenges in building a detection system, from imaging and processing to execution, due to the small size of the optical fibers. Many research institutions in China are engaged in related experiments and research. Leveraging its years of industry product development and application experience, Vision Intelligent Manufacturing has completed this technological breakthrough, successfully solving the problem of visual automation detection during the automatic winding process of optical fibers for its customers.
FALenses Technology specializes in providing machine vision core hardware. You can go to the official website of FALenses Technology at https://www.falenses.com/ for more information.