Technical Library: first article inspection (Page 8 of 26)

Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images

Technical Library | 2021-05-06 13:41:55.0

Quality control is of vital importance during electronics production. As the methods of producing electronic circuits improve, there is an increasing chance of solder defects during assembling the printed circuit board (PCB). Many technologies have been incorporated for inspecting failed soldering, such as X-ray imaging, optical imaging, and thermal imaging. With some advanced algorithms, the new technologies are expected to control the production quality based on the digital images. However, current algorithms sometimes are not accurate enough to meet the quality control. Specialists are needed to do a follow-up checking. For automated X-ray inspection, joint of interest on the X-ray image is located by region of interest (ROI) and inspected by some algorithms. Some incorrect ROIs deteriorate the inspection algorithm.

Southeast University (SEU)

Shedding Light on Machine Vision

Technical Library | 2010-04-07 18:54:31.0

For effective machine vision, the first step in devising a vision system should be the lighting. This paper reviews important criteria for setting up an effective lighting system.

Microscan

Hot Nitrogen For Wave Soldering

Technical Library | 2012-07-05 06:10:59.0

First published in the 2012 IPC APEX EXPO technical conference proceedings. A new innovation for increasing quality & productivity of wave soldering machines.

Air Liquide

Analysis of Inspection of DPA Test Requirements Applied To Flip Chip Technologies

Technical Library | 2020-01-22 22:52:02.0

Flip chip assembly techniques bring a wide range of benefits: Reduced parasitic interconnection between the semiconductor die and package. Provides a high final assembly integrity density. Minimize the interconnection length, providing better electrical performances, especially for high speed signals. Reduce the device size and weight,…, etc. But there is no dedicated inspection requirements nor DPA standard which address all the necessary aspects associated to this construction type or only cover partially the topics to be inspected.

ALTER TECHNOLOGY

Automatic Visual Inspection of Printed Circuit Board for Defect Detection and Classification

Technical Library | 2021-04-15 14:39:41.0

Inspection of printed circuit board (PCB) has been a crucial process in the electronic manufacturing industry to guarantee product quality & reliability, cut manufacturing cost and to increase production. The PCB inspection involves detection of defects in the PCB and classification of those defects in order to identify the roots of defects. In this paper, all 14 types of defects are detected and are classified in all possible classes ...

S. V. National Institute of Technology

A Practical Guide to Achieving Lead-Free Electronics Assembly

Technical Library | 2007-10-18 13:42:45.0

To successfully achieve lead-free electronics assembly, each participant in the manufacturing process, from purchasing to engineering to maintenance to Quality/Inspection, must have a solid understanding of the changes required of them. This pertains to considerations regarding design, components, PWBs, solder alloys, fluxe s, printing, reflow, wave soldering, rework, cleaning, equipment wear & tear and inspection.

AIM Solder

Enhanced X-Ray Inspection of Solder Joints in SMT Electronics Production using Convolutional Neural Networks

Technical Library | 2023-11-20 18:10:20.0

The electronics production is prone to a multitude of possible failures along the production process. Therefore, the manufacturing process of surface-mounted electronics devices (SMD) includes visual quality inspection processes for defect detection. The detection of certain error patterns like solder voids and head in pillow defects require radioscopic inspection. These high-end inspection machines, like the X-ray inspection, rely on static checking routines, programmed manually by the expert user of the machine, to verify the quality. The utilization of the implicit knowledge of domain expert(s), based on soldering guidelines, allows the evaluation of the quality. The distinctive dependence on the individual qualification significantly influences false call rates of the inbuilt computer vision routines. In this contribution, we present a novel framework for the automatic solder joint classification based on Convolutional Neural Networks (CNN), flexibly reclassifying insufficient X-ray inspection results. We utilize existing deep learning network architectures for a region of interest detection on 2D grayscale images. The comparison with product-related meta-data ensures the presence of relevant areas and results in a subsequent classification based on a CNN. Subsequent data augmentation ensures sufficient input features. The results indicate a significant reduction of the false call rate compared to commercial X-ray machines, combined with reduced product-related optimization iterations.

Siemens Process Industries and Drives

Counterfeit Component Analysis

Technical Library | 2020-01-02 12:16:02.0

A customer contacted the Helpline with the concern that parts being used in their assembly may possibly be counterfeit components. The counterfeiting of electronics components is a world-wide problem, and the threat today is even more evident than ever before. Any company, large or small, that manufactures assemblies using electronics components is equally susceptible to using counterfeit devices in their assemblies. In most cases, counterfeit components aren't discovered until after the component has already been placed on a printed circuit board (PCB), usually during first article electrical test. At this point, the only recourse is to debug the circuit to determine the faulty component and rework each PCB already in production to replace the faulty component. As one might easily surmise, this is a rather costly process; world-wide, counterfeit components account for over $15B loss in sales annually!

A.T.E. Solutions, Inc.

A Printed Circuit Board Inspection System With Defect Classification Capability

Technical Library | 2013-08-15 13:12:11.0

An automated visual PCB inspection is an approach used to counter difficulties occurred in human’s manual inspection that can eliminates subjective aspects and then provides fast, quantitative, and dimensional assessments. In this study, referential approach has been implemented on template and defective PCB images to detect numerous 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.

Universiti Teknologi Malaysia

First Article – First Time

Technical Library | 2013-09-22 02:52:56.0

The PCB-assembly industry in constantly changing. Smaller footprints, new types of components and larger and more complex designs are accompanied by constant competitive pressures. As a result, electronics manufacturers need to continuously adapt their processes and make sure they exploit every opportunity for efficiency gains. This is the only way to improve quality and time to market and to increase profitability.

Proventus Technologies


first article inspection searches for Companies, Equipment, Machines, Suppliers & Information

INSPECTION TECH
INSPECTION TECH

Our Company handle AOI (Auto Optical Inspection) and SPI (Solder Paste Inspection) Machines.

Equipment Dealer / Broker / Auctions

Hwaseong-si, Gyeonggi-do, Korea
Hwaseong-si, South Korea

Phone: +82-1029254936

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