DEVELOPMENT OF AUTOMATED CONTROL SYSTEM BY DIAGNOSTIC PRINTING COVERS ON THE BASIS OF MACHINE VISION
Introduction: аn important problem in the production of radio electronic equipment is the quality control of printed circuit boards (PCBs) at various technological stages. Non-contact optical control methods using modern software and hardware image processing complexes based on computer vision technology are used for the diagnostics of printed circuit boards. Materials and Methods: the search for defects and control of project standards on the image of layers of printed circuit boards was carried out by the method of mathematical morphology of Serra. The algorithm for diagnosing the topology of a printed circuit board is presented in the form of a functional model by using the Ramus software environment. The LabVIEW graphical programming environment was used to develop the software of the automated system. Results: the article presents the results of the automated system development for diagnosing printed circuit boards (ASD PCB) by using computer vision technology. Hardware ASD PCB is based on the PXI modular platform using PXI-6239 data acquisition modules and PXI-6509 digital signal generation. Discussions: the control technique based on the algorithm of comparison with the standard and using the operators of mathematical morphology is used to detect defects in the topology of printed circuit boards. The binary image of a defect-free sample of a printed «gold board» obtained by scanning and subsequent processing by the hardware module ASD PCB is taken as the standard. The technique for controlling the topology of a printed circuit board consists of pre-processing the image (binarization of the printed circuit board image with the corrected scale and rotation angle), automatic defect search by comparison with the standard and using the morphological operators «opening» and «closing», as a result of which we determine the areas on the printed board, where design and technology standards are not met. Сonclusion: the presented technical development of the automated system for diagnosing printed circuit boards using the technology of machine vision will allow providing high accuracy and quality of diagnosing the topology of printed circuit boards which will lead to reduction of defective products.