Research on visual inspection method of second-level bubble level based on image fusion

In the present era, the visual detection precision of millisecond bubble level has achieved micrometer or higher accuracy. Consequently, the quality assessment necessitates exceptionally high standards for the pixel values obtained from captured images. The costliness and limited pixel values of high-resolution cameras present a challenge in meeting the stringent detection requirements for individual pixels at 1 micron or above. Mere augmentation of camera pixel values proves insufficient in resolving this issue. This paper proposes a real-time acquisition system based on an array of dual cameras. This system seamlessly integrates algorithms such as image correction, fusion, and median filtering, thereby achieving a substantial enhancement in image pixel values. By significantly amplifying the image pixel values while minimally escalating hardware expenses, this approach elevates the visual detection accuracy of millisecond bubble level, effectively catering to industrial production needs. This study independently establishes an array of dual cameras for real-time acquisition, conducts comprehensive testing, and employs a 25-million-pixel camera for image capture. Through algorithmic applications, the pixel values are boosted to 100 million. Moreover, the model demonstrates consistent performance, significantly enhancing the precision of visual detection for millisecond bubble level.