The advantages of the machine vision detection system are mainly reflected in non-contact measurement and long-term stable operation. By utilizing machine vision solutions, significant labor resources can be saved, bringing considerable profits to the company. Therefore, its applications are becoming more and more widespread.

The machine vision system features measurement capabilities, enabling automatic measurement of product dimensions such as outline shape, hole diameter, height, and area. Dimension measurement is an indispensable step in both the production process and quality inspection after product completion, and machine vision holds unique technical advantages in this aspect.

For instance, this non-contact measurement method not only prevents damage to the object being measured but is also suitable for situations where the object cannot be physically touched, such as in high temperatures, high pressures, fluids, and hazardous environments. Additionally, the machine vision system can simultaneously measure multiple dimensions, achieving rapid completion of the measurement task and is suitable for online measurements. Moreover, the system's strength lies in measuring small dimensions, as it can use high-magnification lenses to enlarge the object being measured, achieving measurement accuracy above the micron level.

Machine vision size measurement is based on relative measurement methods, calculating the actual size through traceability, scale calibration, automatic edge detection, and screen image measurement. In precise measurements, a scale of 35x or above is required to achieve micrometer-level accuracy, at which point the visual line width is less than 5mm. For objects measuring 5mm or more, a combination of shift resolution reading and window measurement is necessary to complete the measurement.

For precise measurements of tiny sizes, machine vision systems come into play by utilizing high-magnification industrial or microscopes. These systems are adept in measuring everything from the diameter and quantity of tiny biological cells, to the size of minute assembly gaps, and even the dimensions of smaller mechanical parts and electronic products across various fields.

Although there are numerous methods for dimension measurement, most lack repeatability and robustness. It has been proven that dimension measurement based on machine vision technology offers excellent continuity and high precision, significantly enhancing the real-time and accuracy of industrial online measurement, while also notably improving production efficiency and quality control.