The basic principles of AOI

The basic principles of AOI

The basic principle of AOI
The principle of image comparison, the principle of AOI statistical modeling, and optical principles

The principle of image comparison
The principle of image comparison: The image is captured by a CCD camera and then processed. Through specialized intelligent application software (which converts information such as pixel distribution, brightness and color into digital signals), it is transformed into the information we need. The AOI system testing process mainly determines whether the component is okay by comparing the image of the component to be tested with the standard image, including the component's size, Angle, offset, brightness, color and position, etc.

The principle of AOI statistical modeling
AOI statistical modeling enhances the system's ability to recognize OK and NG images by learning a series of OK templates, observing image changes, and combining the visual biases seen in all OK images to identify the features of component shape changes and possible future changes. During the process of learning the OK template, the following three problems are mainly solved:

What should the shape of Component A look like?
That is, the size, shape, color and surface pattern of the components, etc.

What changes will occur to component B?
That is, the variation rules of the natural size, shape, color and surface pattern of the components.

How much will the shape of component C change?

That is, the extent to which the size, shape, color, surface pattern, etc. of the components change is reasonable.

The final result is a standard model for testing that integrates the above elements and lies between OK and NG