Technical Library: automation companies (Page 1 of 2)

Management of your company's PLC automation risk.

Technical Library | 2012-06-01 00:14:04.0

PLCs are the brains of your operation. When the PLC (Programmable Logic Controllers) is not functioning properly, lines shut down, plants shutdown, even city bridges and water stations could cease to operate. Thousands to millions could be lost by one li

Business Industrial Network

Inline Quality Control and Position Detection in Dispensing Systems

Technical Library | 2024-02-06 14:36:04.0

Quality monitoring for verifiable, high-precision application of adhesives and sealants now begins with detecting the position of the component. Dispensing systems are in continuous use and have to work with 100 percent accuracy. And this level of accuracy must be verifiable. Demands on electronic components continue to escalate as these components also need to operate continuously and flawlessly, especially in the automotive and medical sectors. At the same time, there is increasing pressure to automate as companies are looking to achieve the shortest possible cycle times and maximum output.

Scheugenpflug Inc.

Automated Optical Inspection Method for Light-Emitting Diode Defect Detection Using Unsupervised Generative Adversarial Neural Network

Technical Library | 2021-11-22 20:44:44.0

Many automated optical inspection (AOI) companies use supervised object detection networks to inspect items, a technique which expends tremendous time and energy to mark defectives. Therefore, we propose an AOI system which uses an unsupervised learning network as the base algorithm to simultaneously generate anomaly alerts and reduce labeling costs. This AOI system works by deploying the GANomaly neural network and the supervised network to the manufacturing system. To improve the ability to distinguish anomaly items from normal items in industry and enhance the overall performance of the manufacturing process, the system uses the structural similarity index (SSIM) as part of the loss function as well as the scoring parameters. Thus, the proposed system will achieve the requirements of smart factories in the future (Industry 4.0).

Shenzhen University

Cut Costs and Increase Efficiency with Innovation

Technical Library | 2013-03-07 14:36:33.0

No one can deny that organizations across the country have been greatly affected by the decline in the economy. The manufacturing industry is no different. Even now as things seem to be looking up, companies are continually looking to cut costs and increase efficiencies. In addition, these companies must remain compliant with the strict quality and safety standards of the industry, adding even more pressure. Because of this, innovative, automated and easy to use products are needed more than ever before to help companies achieve their goals.

Schleuniger, Inc.

AOI-AXI Duo Improves Product Yield

Technical Library | 2009-08-26 19:32:32.0

Automated optical inspection (AOI) and automated X-ray inspection (AXI) have been around for some time in various configurations and both have played a role in improving the quality of circuit boards. While some companies opt for one technology over the other, each form of inspection contributes its own unique benefit to the manufacturing process.

Nordson YESTECH

AOI Capabilities Study with 03015 Component

Technical Library | 2019-01-23 21:33:32.0

Automated Optical Inspection (AOI) is advantageous in that it enables defects to be detected early in the manufacturing process, reducing the Cost of Repair as the AOI systems identify the specific components that are failing removing the need for any additional test troubleshooting1-3. Because of this, more Electronic Contract Manufacturing Services (EMS) companies are implementing AOI into their SMT lines to minimize repair costs and maintain good process and product quality, especially for new component types. This project focuses on the testing of component package 03015 which is challenging for AOI.

Flex (Flextronics International)

How to identify quality IC Shipping Tube guide

Technical Library | 2019-01-03 21:34:41.0

With the increase of labor costs, the popularity of automated production lines, • Antistatic ic tubes, connector shipping tubes, power module shipping tubes, LED shipping tubes, relay shipping tubes and other electronic components tubes are also becoming more widely used. Many small companies blindly pursue low-priced packaging materials, and there is no requirement for quality. When it is later discovered that the parts are stuck in the packaging process, they will regret it when they crush the parts during transportation. Shenzhen Sewate Technology Co., Ltd. tells you about six ways to identify quality packaging tubes.

Shenzhen Sewate Technology Co.,Ltd

Soldering of SMD Film Capacitors in Practical Lead Free Processes

Technical Library | 2009-06-02 23:53:18.0

Today the lead free soldering process is a must in commercial electronics and it is also coming more and more important in automative and industrial electronics sectors in the near future. The most common choices for lead free solders are different Tin-Solder-Copper (SAC) alloys. Processes using SAC solders cause extra stress, because of increased process temperatures, especially to the plastic materials.

KEMET Electronics Corporation

Streaming Machine Learning and Online Active Learning for Automated Visual Inspection

Technical Library | 2021-11-22 20:39:44.0

Quality control is a key activity performed by manufacturing companies to verify product conformance to the requirements and specifications. Standardized quality control ensures that all the products are evaluated under the same criteria. The decreased cost of sensors and connectivity enabled an increasing digitalization of manufacturing and provided greater data availability. Such data availability has spurred the development of artificial intelligence models, which allow higher degrees of automation and reduced bias when inspecting the products. Furthermore, the increased speed of inspection reduces overall costs and time required for defect inspection. In this research, we compare five streaming machine learning algorithms applied to visual defect inspection with real world data provided by Philips Consumer Lifestyle BV. Furthermore, we compare them in a streaming active learning context, which reduces the data labeling effort in a real-world context. Our results show that active learning reduces the data labeling effort by almost 15% on average for the worst case, while keeping an acceptable classification performance. The use of machine learning models for automated visual inspection are expected to speed up the quality inspection up to 40%.

Jožef Stefan Institute

21st Century PCB FAB Factory Design Which Eliminates Regional Cost Advantages

Technical Library | 2017-11-01 17:06:38.0

Over fifteen years has passed since North America and Europe ceased being the center of worldwide PCB fabrication, and were supplanted by a Far East market with low cost labor, more relaxed environmental requirements, and strong government support. In just a few short years, the superior cost advantages of this new dynamic put volume PCB production in the West out of business, aside for the military and specialty technology applications contained in the few shops that continue to exist today.Recently, however, the conditions which created the current equilibrium appear to be shifting again. In this new dynamic, automation, innovative green wastewater technologies, and next generation process equipment innovations have combined to make new factories capable of achieving rapid ROI for PCB fabrication almost anywhere. This paper means to illustrate this new dynamic, and provide case study examples from the new greenfield installation at the company captive facility in New Hampshire.

Whelen Engineering

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DONGGUAN KINGSUN AUTOMATION TECHNOLOGY CO.,LTD
DONGGUAN KINGSUN AUTOMATION TECHNOLOGY CO.,LTD

DONGGUAN KINGSUN AUTOMATION TECHNOLOGY CO.,LTD is a company which mainly provide used and new SMT parts, provide repair SMT key parts service,new/used SMT machine trading,SMT consumables and Peripherals equipment,Clean room, ESD..

Manufacturer's Representative / Manufacturer / Equipment Dealer / Broker / Auctions / Distributor / Consultant / Service Provider

3th, Tangchang 3rd Road, Hengli, Dongguan City
Dongguan, China

Phone: 008615629932323