Learning aoi automatic optical detector
2018-01-09 19:23
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The necessity of learning aoi automatic optical detector is a problem worth discussing. Some friends mentioned before that aoi equipment has the function of automatic learning, so it has a better effect on reducing misjudgment, which is what we often call the analysis method of aoi statistical modeling: correcting misjudgment and misreporting data to achieve the effect of reducing misreporting, all that needs to be done is the process of manual confirmation. then, is the necessity of learning aoi really valuable? and how much is the necessity? this is the question that little hu will answer in this chapter.
For the humanized software design concept of statistical modeling of the upgraded version of image contrast technology that we commonly use, there is no problem in the case of mass production in actual production, and the comprehensive effect is also good. Therefore, in the past few years, aoi equipment has been widely developed, but the driving force of continuous pursuit of progress has driven us to go further on the road of pcba solder joint detection. can we avoid learning or reduce false positives to close to zero? this is the highest requirement for aoi detection technology, because the current optical detection technology has yet to improve the humanized automatic correction function for component changes. for example, a new employee will produce normally after telling him the standard. this kind of production efficiency is the dream of every smt manager. compared with aoi equipment, it is also the same. if the standard has been given directly in the pcb programming process, there is no need to follow the process of continuous false alarm and continuous correction. of course, this is an idealized state.
Contrary to the learning aoi automatic optical detector, analytical aoi is the abbreviation of feature vector analysis aoi often mentioned by Xiao Hu. Because vector analysis aoi adds the function of automatic correction by software humanization, it can automatically correct the common problem of high false alarm rate of solder joints in image comparison technology according to the product characteristics to be detected in the subsequent problems such as positioning point deviation and FPC deformation, this point is described in detail in the chapter of "Vector Imaging-High Precision Positioning Technology", which will not be repeated here. It is worth mentioning that vector analysis technology makes full use of different characteristics of different detection parts, and the area occupied by the characteristics, that is, the contour itself, is countless times of the pixels, among which the pixels are fixed and monotonous, but the characteristics themselves are relatively rich, at the same time, the vector analysis coordinate digital data is much simpler than the image comparison picture digital data, and the coordinate data is much more rigorous than the picture data in the analysis process, which is doomed: the new vector analysis technology has inherent advantages, and has excellent pedigree from the root of data analysis. If the image comparison is to improve the requirements for low false alarm rate of PFC soft board and plug-in detection, it is necessary to start with software analysis, which means that the underlying source program of the software program changes. So far, no company specializing in the development of optical detection technology image contrast method has been found, and will rewrite its own program to meet the requirements of production for detection technology in the development of aoi detection technology.
To sum up, aoi of image contrast technology has played an inestimable role in the development of aoi optical detection technology now and many years ago. however, with the increasing development of aoi optical detection technology, when production needs to question the learning and debugging process of aoi equipment, how much room is there for the necessity of learning aoi to grow? Is our aoi detection technology perfect on the basis of image contrast, or is it to overthrow the old detection technology and have a new understanding of the new technology?
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