The PCB defect inspection system design based on lab windows/CVI
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Abstract:
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.Keywords:
Automated optical inspection
Automated X-ray inspection
Visual 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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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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An automated visual printed circuit board (PCB) inspection is an approach used to counter difficulties occurred in human’s manual inspection that can elimin ates subjective aspects and then provides fast, quantitative, and dimens ional assessments. In this study, referentia l approach has been implemented on template and defective PCB images to detectnumerous defects on bare PCBs before etching process, since etching usually contributes most destructive defects found on PCBs. The PCB inspection system is then improved by incorporating a geometrical image registration, minimum thresholding technique and median filtering in order to solve alignment and uneven illumination problem. Finally, defect classification operation is employed in order to identify the source for six types of defects namely, missing hole, pin hole, underetch, short -circuit, mousebite, and open- circuit.
Visual inspection
Automated X-ray inspection
Automated optical inspection
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Citations (12)
Purpose To present an overview of the research and development carried out by an EC Framework 6 part funded consortium, known as MICROSCAN, for the implementation of an in‐line PCB inspection prototype system that is capable of offering comprehensive defect detection. Design/methodology/approach Four non‐destructive testing inspection modules based on digital radiography (X‐ray) inspection, thermal inspection, automated‐optical inspection and acoustic inspection have been integrated to form a combined inspection system. Findings A proof in principle in‐line PCB inspection system, utilising four different inspection techniques, has been developed and demonstrated. The system is based on a generic mechanical, electrical and software communications platform culminating in a flexible system that enables the inspection modules to be used separately, together or interchanged to give the best results in terms of inspection coverage and inspection throughput. Research limitations/implications In its current embodiment, the prototype is suited to inspection of high‐return PCBs, particularly those used in medical and aerospace products, rather than high‐throughput PCB production work. The X‐ray inspection module is the slowest inspection technique and combining four different inspection techniques reduces the inspection throughput of the whole system to that of the X‐ray inspection module. Further, trials and investigations need to be carried out to improve inspection throughput. Originality/value The novelty of the system is that it is the first time that four inspection techniques have been combined to give the capability of 100 per cent defect coverage.
Automated optical inspection
Automated X-ray inspection
Visual inspection
Software inspection
Line (geometry)
Production line
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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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Citations (84)
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 description of research work on the automatic visual inspection of printed circuit boards is presented as an example of a practical industrial automation problem. The major goal of this research is to develop a programmable visual inspection system applicable to printed circuit boards and other electronic assemblies. Described methods are the dimensional verification technique and the pattern matching technique. In dimensional verification, the inspection is accomplished by verifying the dimensional accuracy of certain features of the board. In pattern matching, standard features of the board are extracted interactively. The inspection is accomplished by matching these standard features with patterns of the unit under test.
Automated optical inspection
Visual inspection
Automated X-ray inspection
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Citations (14)
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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Citations (4)
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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Citations (14)
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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Citations (6)