Technical Library: images (Page 1 of 5)

KE-2050/KE-2060 Causes and Countermeasures of Patch Failure

Technical Library | 2023-07-22 02:26:05.0

Patch offset; Uneven patches throughout the substrate (each substrate is offset in a different way); Only part of the substrate is offset; Only certain components are offset; The patch Angle is offset; Component absorption error; Laser identification (component identification) error; Nozzle loading and unloading error; Mark (BOC mark, IC mark) identification error; Image recognition error (KE-2060 only); Analysis of the main reasons for throwing material. More information about KINGSUN please Contact US at jenny@ksunsmt.com or visit www.ksunsmt.com

DONGGUAN KINGSUN AUTOMATION TECHNOLOGY CO.,LTD

Automatic PCB Defect Detection Using Image Substraction Method

Technical Library | 2013-08-08 15:23:11.0

In this project Machine Vision PCB Inspection System is applied at the first step of manufacturing, i.e., the making of bare PCB. We first compare a PCB standard image with a PCB image, using a simple subtraction algorithm that can highlight the main problem-regions. We have also seen the effect of noise in a PCB image that at what level this method is suitable to detect the faulty image. Our focus is to detect defects on printed circuit boards & to see the effect of noise. Typical defects that can be detected are over etchings (opens), under-etchings (shorts), holes etc...

Al-Falah School of Engineering and Technology

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)

Health Related Images

Technical Library | 2024-09-16 17:25:29.0

How my photography hobby has helped better my health

A-Laser, Inc.

Detection of PCB Soldering Defects using Template Based Image Processing Method

Technical Library | 2021-04-15 14:49:27.0

In this study, a predefined template-based image processing system is proposed to automatically detect of PCB soldering defects that negatively affect circuit operation. The proposed system consists of a scaled inspection structure, a camera, an image processing algorithm merged with Fuzzy and template guided inspection process. The prototype is produced using a plastic material, depending on the focal length of the camera and the PCB size. Image processing step comprises two steps. Firstly, solder joints are determined and boxed using Fuzzy C-means clustering algorithm.

Selcuk University

FICS-PCB: A Multi-Modal Image Dataset for Automated Printed Circuit Board Visual Inspection

Technical Library | 2024-04-29 21:19:42.0

Over the years, computer vision and machine learning disciplines have considerably advanced the field of automated visual inspection for Printed Circuit Board (PCB-AVI) assurance. However, in practice, the capabilities and limitations of these advancements remain unknown because there are few publicly accessible datasets for PCB visual inspection and even fewer that contain images that simulate realistic application scenarios. To address this need, we propose a publicly available dataset, "FICS-PCB"1, to facilitate the development of robust methods for PCB-AVI. The proposed dataset includes challenging cases from three variable aspects: illumination, image scale, and image sensor. This dataset consists of 9,912 images of 31 PCB samples and contains 77,347 annotated components. This paper reviews the existing datasets and methodologies used for PCBAVI, discusses challenges, describes the proposed dataset, and presents baseline performances using feature engineering and deep learning methods for PCB component classification.

University of Florida

Stencil Cleaner Meets Stringent EPA Rules

Technical Library | 2000-07-14 14:52:33.0

The acronym "EPA" has cast almost as much fear in the hearts of industry as the letters "IRS." The Environmental Protection Agency has a plan to improve its image and actually help manufacturers attain their goals and ISO 14001 requirements.

Smart Sonic Stencil Cleaning Systems

Comparing Techniques for Temperature-Dependent Warpage Measurement

Technical Library | 2008-03-13 13:02:50.0

Three full-field optical techniques, shadow moiré, fringe projection and digital image correlation (DIC), are used to measure temperature-dependent warpage for a PBGA package and a PCB component land site from room temperature to 250ºC. The results are qualitatively similar, but imaging resolution and noise properties create offsets between coplanarity values. The paper summarizes strengths and weaknesses for each technique.

Akrometrix

Void Detection in Large Solder Joints of Integrated Power Electronics

Technical Library | 2012-12-06 17:36:37.0

Inspection of integrated power electronics equals sophisticated test task. X-ray inspection based on 2D / 2.5D principles not utilizable. Full 3D inspection with adapted image capturing and reconstruction is necessary for test task.... First published in the 2012 IPC APEX EXPO technical conference proceedings.

GOEPEL Electronic

How to choose a reliable CF Card for VDR

Technical Library | 2018-11-22 05:21:52.0

VDR (Voyage Data Recorder) is an instrument continuously recording real-time data of ship body, including speech communication signal of cockpit, sensors data, alarm status and radar images, etc.. So what's types of storage devices may meet VDR's requirement?

Renice Technology Co., Ltd

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