With the continuous advancement of miniaturization and precision in modern manufacturing, dimensional measurement systems are facing increasing demands for higher accuracy and speed. Traditional vision measurement methods often struggle to balance efficiency and precision. The Fast Image Measurement System is emerging as a critical tool in quality inspection due to its non-contact measurement, high accuracy, and fast response capabilities.
This article delves into the three core technologies of the system: dual telecentric lenses with dual magnification, a 20-megapixel high-resolution CCD camera, and an adjustable multi-angle lighting system—along with practical application examples to demonstrate their performance advantages.
1. Dual Telecentric Lenses with Dual Magnification: Accurate Measurement Even with Step Differences
Conventional lenses can cause measurement errors when measuring stepped or uneven surfaces due to parallax and distortion. In contrast, the fast image measurement system employs dual telecentric lenses with enhanced telecentricity. This ensures that light rays are perpendicular to the image sensor throughout the entire field of view, minimizing distortion.
The benefits of telecentric lenses extend across the entire image, including the edges. Even when the object being measured has step differences, protrusions, or complex geometries, high-precision measurements can be performed without needing to reposition the object.
Example: When inspecting an aluminum substrate with a 0.5mm step, traditional lenses may produce distorted and blurry edges. However, with dual telecentric lenses, the edge contours remain clear, and repeatability improves to ±1μm.
2. 20-Megapixel High-Resolution CCD Camera: Clear Imaging of Micro Features
The resolution of the measurement system determines whether tiny structures can be accurately detected. This system uses a 1-inch monochrome CCD camera with 20 million effective pixels—double that of conventional systems. Higher resolution enables finer image detail collection, allowing for reliable detection of tiny burrs, cracks, and micro-edges.
Furthermore, the system allows switching between a high-resolution lens and a wide-field lens. Depending on the workpiece, users can choose a “precision mode” or “wide-area mode,” achieving fast and accurate dimensional measurement.
Example: When inspecting the 0.1mm bevel on a laptop’s metal frame, the high-resolution camera captures a clear image with a measurement error below ±2μm. For plastic housings, switching to the wide-angle lens enables full edge detection in a single image, saving significant time.
3. Adjustable Lighting System: Optimal Illumination for Edge Extraction
Image clarity depends heavily on lighting design. This system integrates ring lights, coaxial lights, oblique lights, and slit lights into one unit. Users can quickly switch lighting combinations via software to suit different surface textures, colors, and reflectivity.
More importantly, the system features built-in brightness sensors and intelligent lighting control. It can automatically adjust the lighting's brightness, angle, and height based on the environment and material reflectivity to enhance edge contrast for accurate measurement.
Example: When inspecting transparent light guides, the system identifies weak edges and high ambient interference, automatically switching to a blue oblique + ring light combination and fine-tuning the angle. This ensures the edges appear with high contrast in the image, facilitating precise dimension extraction by the software.
Conclusion
The fast image measurement system integrates high-telecentricity lenses, high-resolution imaging, and intelligent lighting to deliver a fast, accurate, and stable non-contact measurement solution. It is widely used in 3C electronics, precision molds, medical devices, and new energy industries, serving as a vital tool in modern precision inspection.
As AI-based image recognition and multi-station automation continue to evolve, such systems are expected to become even smarter and more autonomous, driving the future of high-efficiency quality control.