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  • A comprehensive guide to machine vision inspection technology and its applications
    A comprehensive guide to machine vision inspection technology and its applications
    2025-12-30
    With the continuous maturation of 3D imaging technology, point cloud processing algorithms, and artificial intelligence, machine vision inspection is developing towards higher precision, greater intelligence, and broader application scenarios.
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  • Imaging tests of industrial cameras in low-light environments
    Imaging tests of industrial cameras in low-light environments
    2025-12-22
    With the rapid development of industrial automation and intelligent manufacturing, machine vision inspection has become an indispensable and important component of modern production lines. As the core hardware of a vision inspection system, the imaging performance of industrial cameras directly affects the accuracy and stability of inspection results. Especially in low-light environments, the ability of industrial cameras to stably output high-quality images has become one of the important indicators for measuring their overall performance.
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  • Zhixiang Shijue completed the PCB board soldering inspection test
    Zhixiang Shijue completed the PCB board soldering inspection test
    2025-12-16
    Zhixiang Shijue's technical team completed a soldering inspection test on PCB samples provided by a customer. The test focused on verifying the accuracy of solder joint positions, the clarity of their outlines, and the stability of the overall imaging, providing a reliable basis for the customer's subsequent automated inspection solutions.
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  • Industrial lenses vs. conventional lenses: What are the key differences in imaging accuracy?
    Industrial lenses vs. conventional lenses: What are the key differences in imaging accuracy?
    2025-12-11
    In today's era of rapid information and automation development, machine vision has become an indispensable key technology in industrial production. As the "eyes" of the vision system, the lens's performance directly determines image quality and affects the final accuracy of tasks such as detection, measurement, and recognition.
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