Technical Library: decan machine review (Page 1 of 1)

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

Optimizing the Wave Soldering Process with Hot Nitrogen Knives

Technical Library | 1999-04-29 15:39:03.0

The paper describes the effects of a debridging knife on inerted soldering environments in an Electrovert Econopak wave solder machine. It reviews experiments to improve the purity of the soldering environment and results of the tests.

Siemens Process Industries and Drives

Soft Material-Enabled, Flexible Hybrid Electronics for Medicine, Healthcare, and Human-Machine Interfaces

Technical Library | 2020-04-08 22:57:04.0

Flexible hybrid electronics (FHE), designed in wearable and implantable configurations, have enormous applications in advanced healthcare, rapid disease diagnostics, and persistent human-machine interfaces. Soft, contoured geometries and time-dynamic deformation of the targeted tissues require high flexibility and stretchability of the integrated bioelectronics. Recent progress in developing and engineering soft materials has provided a unique opportunity to design various types of mechanically compliant and deformable systems. Here, we summarize the required properties of soft materials and their characteristics for configuring sensing and substrate components in wearable and implantable devices and systems. Details of functionality and sensitivity of the recently developed FHE are discussed with the application areas in medicine, healthcare, and machine interactions. This review concludes with a discussion on limitations of current materials, key requirements for next generation materials, and new application areas.

Washington State Magazine

Flexible Bioelectronics For Physiological Signals Sensing And Disease Treatment

Technical Library | 2020-04-22 23:50:30.0

Flexible bioelectronics, including wearable and implantable electronics, have revolutionized the way of human-machine interaction due to the fact that they can provide natural and seamless interactions with humans and keep stable and durable at strained states. As sensor elements or biomimetic actuators, flexible bioelectronics can dynamically sense and monitor physiological signals, reveal real-time physical health information and provide timely precise stimulations or treatments. Thus, the flexible bioelectronics are playing increasingly important roles in human-health monitoring and disease treatment, which will significantly change the future of healthcare as well as our relationships with electronics. This review summarizes recent major progress in the development of flexible substrates or encapsulation materials, sensors, circuits and energy-autonomous powers toward digital healthcare monitoring, emphasizing its role in biomedical applications in vivo and problems in practical applications. A future perspective into the challenges and opportunities in emerging flexible bioelectronics designs for the next-generation healthcare monitoring systems is also presented.

University of Electronic Science and Technology of China

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

Database Driven Multi Media Work Instructions

Technical Library | 2019-03-25 12:45:56.0

Work instructions are time consuming to generate for engineers, often requiring regeneration from scratch to address very minor changes. They need to be produced in varying levels of detail, with varying guidelines, for multiple stations, operators and lines. Minor component, station or process changes – down to the modification of an individual BOM component – can cause headaches when attempting to maintain consistency across multiple work instructions that are touched by the change.The solution presented here improves efficiency and saves engineering time by making use of a database driven approach. Manufacturing details, component information, process guidelines, annotations, machine-specific data, and more can be stored in one central database. Any information stored in this single repository can then be modified quickly in one location and automatically propagate seamlessly throughout multiple work instructions. These can be instantly printed out or displayed on screens at appropriately affected stations with the simple click of a button, as opposed to regenerating from scratch, or going in and reviewing many documents to find and update with the change.

Optimal Electronics Corporation

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