An automatic inspection system for printed wiring board masks
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Automated optical inspection
Automated X-ray inspection
The perfect Printed Circuit Board (PCB) plays a very important role in every electronic device as well as in automation systems. So, it is very important to find defects in the PCB before installing it to any system or any device. However, PCB Manufacturers use various inspection systems in the process of manufacturing PCBs for detecting various types of defects in the PCB. In this article, we present the Automated assembled PCB Inspection System. This system finds defects such as missing components and improper position of its components by using the Pattern matching Technique where a good known score of template image is matched with the score of the test image. This system gives results at each inspection within 10 Seconds and the result given by this system are passed or fail in the form of an array sheet. This automated inspection system is created by using NI Vision Builder AI and NI LabVIEW technology. Ni Vision Builder AI has been used to create the algorithm. And NI LabVIEW has been used to create the application.
Automated optical inspection
Automated X-ray inspection
Installation
Machine Vision
Visual inspection
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Automated optical inspection
Automated X-ray inspection
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This paper presents an inspection system for the defects on surface mounted device (SMD) printed circuit boards (PCBs). There are five types of defects, namely, missing component, misalignment, wrong orientation of IC chip, wrong parts and poor solder joints. Thus, different algorithms are developed to detect these faults. Vision system has been introduced into almost every level of PCB manufacturing. They include PCB pattern inspection machines, SMD mounter with visual positioning, mounted SMD visual inspection machines, soldering inspection machines, assembled PCB visual inspection machines etc. Most of these vision systems are integrated successfully and achieve significant benefits. But the rapid development of surface mounted technology makes precision SMD mounters and visual inspection machines become necessary. Efforts are being made to develop precision SMD mounters and solder inspection systems.
Automated optical inspection
Visual inspection
Automated X-ray inspection
Machine Vision
Surface-mount technology
SMT placement equipment
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The purpose of this correspondence is to present problems and methods in automating visual inspection of printed circuit boards (PCB's). Vertical and diagonal illumination are useful in detecting PCB patterns correctly. An algorithm comparing local features of the patterns to be inspected with those of the pattern to be referenced is proposed. An inspection system using developed technologies is also described.
Automated optical inspection
Automated X-ray inspection
Visual inspection
3d printed
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The quality of solder joints on printed circuit board (PCB) is directly related to the reliablity and stablity of electronic products. How to ensure the quality of solder joints? One necessary step in production is the inspection of defective solder joints. In this paper, an automatic holographic interferential inspection method on PCB solder joints is presented. Based on this method, the inspection system ,which includes three parts -- Optic imaging system(OIS), Automatic control system(ACS) and Processing and recognition system(PRS), has also been discussed. A series of interferential fringe image processing algorithms are put forward and discussed at the end of the paper.
Automated optical inspection
Visual inspection
Automated X-ray inspection
Surface-mount technology
Electronic Packaging
Integrated circuit packaging
Automatic control
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Printed Circuit Board (PCB) is said to be the heart of the electronic automation system. Components of different sizes, shapes are used for assembling the PCB. With the advancements in the technology, complexity of PCBs has also increased and also number of components to be assembled on PCB is also increased. Missing components are to be verified before testing the operation of the system. Wrong component placement may cause complete failure of the system. Proposed system does the automatic inspection of the assembled PCB using image processing techniques. The proposed system uses image pre-processing techniques, image subtraction, and extraction of region properties to find defect in assembled PCB. This system detects multiple missing components as well as wrongly placed components. It provides ease in inspection of assembled PCB and provides accurate results.
Automated optical inspection
Automated X-ray inspection
Component (thermodynamics)
Electronic component
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A novel approach used for Printed Circuit Board (PCB) defect inspection is presented in this paper. This image processing approach that developed in Lab Windows/CVI can be used to determine whether PCB components are put in the correct location, and matches areas of inspection to a template of valid components. The experimental result shows that the proposed approach can search the correct components in PCB image with a given template, therefore it can be used in an automatic optical inspection for online inspection.
Automated optical inspection
Automated X-ray inspection
Visual inspection
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Due to the present, there are many automated optical inspection solutions for printed circuit board assembly inspection using in various companies but most of the solutions are high cost, large-size, limited function, etc., Also, the detection of defected sizes on the printed circuit board assembly has been decreasingly in sizes, i.e., micro-sizes. Such this size is getting difficult to detect by existing automated optical inspection solutions. Therefore, this research has been proposed to create an automated optical inspection system for detecting micro-size defects. The system application consists of LabVIEW programming with OpenCV Library in a kind of server connection between the Raspberry Pi board and the USB microscope camera. Thus, the system of the machine vision is conducted based on the algorithm design for automated monitoring on the leakage of copper along the edges of the printed circuit board assembly. The primary result presents the creation of the system prototype that can inspect the micro-size defects of the printed circuit board in real time monitoring and operations. Nevertheless, the purposed system is suitable for laboratory-scale testing only, the system application for automated manufacturing has been purposed and developed, and will be presented in the separate paper.
Automated optical inspection
Automated X-ray inspection
Single-board computer
Machine Vision
On board
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Automated systems based on optical inspection are widely used in the production of electronic systems, mainly on the printed circuit board level. Detection of defects in the early stages of production, reduce costs by lowering the number of scraps and elevate overall quality standards. One of the main areas where defects arise, are in the solders of the components on printed circuit boards. This paper studies an implementation of an automated optical inspection system for detection of defective solder in through-hole components. The solution implemented in this system, relies on the correct thresholding of the acquired image and afterwards particle analysis on a rule-based approach, instead of using techniques such as template matching to compare the solders to a known template. The proposed solution reduces the overall processing time and makes for a more flexible solution. The experimental results show the efficiency of the proposed approach with a high rate of success using a minimum cycle time.
Automated optical inspection
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The inspection of manufactured products is an important industrial activity. The printed circuit board (PCB) represents a complicated product that needs sophisticated inspection tools to be in accordance with the norms of conception. This paper presents an inspection process that detects errors occurred in the PCB production. The inspection process is realized without standard board images. We show the results of this process applied on real images.
Automated optical inspection
Automated X-ray inspection
On board
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