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Artificial Intelligence, Automation, Neural Networks Webinars
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When Precision Matters: New Applications of Air Bearing Motion Systems
Air bearing motion systems are essential in many tests and production applications where ultra-high precision, cleanliness, and reliability matter. In the contemporary landscape of advanced...
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Maximizing Payback: Translating Project Goals into Equipment Specifications
Positioning equipment offers a quick path to automation, but the options can be overwhelming. How do you start narrowing down the choices? The first step is to prioritize your automation goals...
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Identifying and Fixing In-Plane Positioning and Stability Issues
Accurate, reproducible, and fast positioning is a recurrent requirement in factory automation and instrumentation. In this presentation, Acher discusses two underrated issues: What is the referential...
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Electromagnetic Manipulation: Revolutionizing Machine Vision
Join this webinar as Ryan Marti of Omron Automation delves into the realm of unique machine vision applications that push the boundaries of automation. Discover how machine vision technology can...
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AI-driven Multimodal Imaging – A Powerful Toolbox for Tumor Diagnosis
Spectroscopic techniques have the potential to provide morphological information and molecular fingerprint information in a non-invasive and label-free manner. This presentation reports on the...
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NXT Stop, Malibu: Fast and Easy AI Machine Vision
The advancement of AI has changed the landscape of machine vision. As the understanding of what applications AI in machine vision can help solve broadens, manufacturers must adjust their offerings to...
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Software-Defined Imaging: AI Visual Inspection for Improved Quality and Yield
Common visual inspection problems include low false acceptance and false rejection. In 80% of these cases, the challenge involves lighting. Good lighting, when coupled with state-of-the-art AI...
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The widespread use of imaging technology requires easy to use, powerful, and flexible smart cameras to simplify system design and provide a low total cost of ownership (TCO). Smart cameras with...
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Deep Learning Transforms Defect Detection, Quality Control, and Robotics Automation
In this 30-minute presentation, Anderson will delve into the uses of 2D and 3D imaging and the critical role of deep learning in advancing these technologies. The presentation covers the...
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AI Unlocks Comprehension Possibilities of Vision Guided Robotics
The term artificial intelligence (AI) has been around since the 1950’s but most attempts at achieving a form of useful technology based on AI techniques have never delivered results. This...
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Implementation Fundamentals for Computer Vision in Automated Inspection
Computer vision has changed the way the industry thinks about automated inspection. In many cases, computer vision makes inspection easier and more reliable than human inspection or traditional...
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Technology and the Future of Work
The societal and economic spasms of the early 2020s highlighted the crucial role of world-spanning supply chains in the modern global economy, as well as the growing role of digital technology,...
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Supervised Learning Methods for Inspecting Semiconductors, Wafers, and Materials
Deploying supervised learning methods for automated optical inspection (AOI) of semiconductor wafers and other materials enables process engineers to detect defects on bare and patterned samples...
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Heat Maps and Optical Character Verification Take AI-Based Inspection to the Next Level
One subset of deep learning-based machine vision is unsupervised learning. In simple terms, the deep-learning module is trained on images that are defect free. The standard training method consists...
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AI’s Role in Solving Low Light and HDR Challenges
The phrase “garbage in, garbage out” is applicable to both machine and human vision. Improving the quality of image data at the source by removing noise will have far-reaching impacts...
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Vision Spectra
Conference 2023: July 18-20
Take your professional growth to new heights with machine vision insight and trends. Photonics Media invites you to join us virtually July 18 to 20 for our annual Vision Spectra Conference. ...
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The Growing PICs Sector’s Reliance on Automation and Wafer-Level Integration in Manufacturing
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Photonic Integrated Recurrent Neural Network Based on Frequency Multiplexing
Reservoir Computers (RCs) are brain-inspired algorithms based on recurrent neural networks where only output weights are tuned, while internal weights remain untrained. VLC Photonics recently...
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Good News: Photonics Is Mainstream. Now We Must Scale.
Lidar for autonomous vehicles. Virtual reality for immersive entertainment and new interactive applications. Wearable health sensors. Photonic computing — computation by propagation. Quantum...
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A User Guide to Image Quality Assessment for Artificial Intelligence
The size and number of images for image acquisition instruments and processing techniques have grown exponentially, along with the associated storage needs and network requirements. In the fields...
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Scientific CMOS Drives Discovery in Live-Tissue Applications
Advancements in camera technology have pushed the quest for knowledge into live imaging of cellular processes and even into the workings of the human brain, with new applications in neuroscience....
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Semantic and Instance Segmentation of Microscopic Images Using Pretrained Neural Networks
Robust segmentation of microscopic images is the foundation for the subsequent analysis of the image content and hence the (biological) properties of the sample. In addition to semantic segmentation,...
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KEYNOTE: Deep Learning-Enabled Computational Microscopy and Diffractive Imaging
Ozcan provides an overview of his recent work on using deep neural networks in advancing computational microscopy and sensing systems. He also covers the systems' biomedical applications, including...
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Virtual Biomarkers: An Emerging High-Throughput Research Tool
Pathology underlies every facet of health care, influencing more than 70% of all medical decisions. It is used in every phase of pre-clinical and clinical drug development, in every tumor repository...
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Increasing Efficiency in Robotics and Automation With the Latest Time-of-Flight Camera Technology
For applications that demand real-time object detection, such as 3D bin picking, time-of-flight (TOF) technology enhances 3D depth performance and reduces application complexity over traditional 3D...
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Spring 2024
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