Principles and Advantages of Machine Vision Measurement

Machine vision systems have measurement capabilities that can automatically measure the appearance dimensions of products, such as the measurement of shape contours, hole diameters, heights, areas, and other dimensions. Size measurement is an indispensable step both during the production process and in the quality inspection after the product is completed. Machine vision has its unique technical advantages in size measurement.

Principle of Machine Vision Measurement

Machine vision measurement technology is a type of stereoscopic vision measurement technology. Its measurement system is simple in structure, easy to move, quick and convenient in data collection, easy to operate, low in measurement cost, and it has the potential for online, real-time three-dimensional measurement. It is especially suitable for the detection of three-dimensional spatial points, sizes, or large workpiece contours.

This non-contact measurement method can avoid damage to the measured object and is suitable for situations where the object cannot be touched, such as high temperature, high pressure, fluids, and hazardous environments. At the same time, a machine vision system can measure multiple dimensions simultaneously, achieving rapid completion of measurement tasks and is suitable for online measurement. For measuring small dimensions, the machine vision system excels as it can use high magnification lenses to enlarge the measured object, making the measurement accuracy reach above the micron level.

The principle of machine vision measurement is to use a CCD camera to obtain a two-dimensional image of a three-dimensional object, realizing a perspective transformation between the actual spatial coordinate system and the camera plane coordinate system. By using two frames of two-dimensional images taken from different directions by multiple cameras, the three-dimensional surface contour or three-dimensional spatial points and dimensions of the object can be comprehensively measured.

Currently, the highest precision achievable with machine vision measurement technology has reached sub-micron levels, meeting the precision requirements of most current automated production lines. Measuring and positioning with machine vision systems can make production lines faster and more efficient.

Advantages of Machine Vision Measurement

Machine vision measurement adopts advanced sub-pixel level object surface scanning methods to meet high-quality point cloud scanning needs. The system uses high-resolution digital industrial cameras to collect image data, and with the help of light source stripes on the object's surface, dense point clouds of any complex surface can be obtained within seconds. The system's resolution ranges from 1.3 million to 5 million pixels, meeting the needs of different customers.

Machine vision measurement uses true color object surface reconstruction methods. The vision measurement equipment system uses advanced image texture analysis and acquisition technology, preserving the object's true color display while reconstructing 3D data. This technology retains the true color of the measured object to the greatest extent, restoring the object's actual physical characteristics.

Machine vision measurement has a fully automatic stitching method. Image data from different angles rely on the object's own texture to automatically stitch within a unified coordinate system, obtaining complete 3D image scan data. When scanning objects rich in texture, the system can complete the stitching function without attaching any reference points to the object's surface, greatly improving stitching efficiency.

Measurement system precision has the least dependence on hardware equipment. The optical calibration module of the entire system uses ultra-high precision semiconductor process products, maximizing calibration accuracy. Software collects real-time error corrections during the process and strictly corrects multiple lens distortions.

Machine vision measurement system is easy to set up and use. During the overall development of the 3D scanner, the principle of "software can handle it, never let the user handle it" is adhered to, reducing the number of user-set parameters to the minimum. The scanning software dynamically calculates the required parameter values more accurately during the operation period, avoiding unnecessary manual settings by the user and making the entire system more adaptable, more automated, and less prone to human error.