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Artificial Intelligence, Deep Learning Webinars
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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...
on demand
Speeding Up Microscopy and Image Analytics: Integrating Techniques
Pairing up the capabilities of optical microscopy and computer vision is a common strategy to enhance the performance of a broad spectrum of biological and biomedical screening applications. The most...
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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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Simple Smart Cameras for AI and Industry
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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Scaling Machine Vision and Delivering Value Beyond Detection: Smart Vision
Machine vision systems for industrial manufacturing are typically isolated solutions to perform defect detection on a specific machine at a specific stage of a process. Yet in times of AI and...
on demand
From Fabric Classification to Assessing Plastics Injection Molding: How Deep Learning is Transforming the Inspection Game
Explore machine vision applications that are well suited for deep learning, including application examples in plastics injection molding, weld surface inspection, fabric classification, and metal...
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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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Machine Vision with Collaborative Robots
Vision-guided robots date back to the beginning of the modern industrial robot age in the early 1980s. Using vision to guide a robot has consistently been a method to add the sense of sight to a...
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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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Intelligent Diagnostic Systems: Key Factors for the Successful Integration of AI Algorithms into Medical Devices
Artificial intelligence algorithms can significantly enhance the capabilities of medical devices, but key considerations need to be made during device development in order for users to get the most...
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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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Human-Like Vision for Pick-and-Place Robotics
Achieving full SKU coverage and fewer mispicks, and completely emptying a bin of random objects, are success factors that may be hard to achieve if an automation system is based on stereo depth...
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Barcode Reading: The Not-So-Obvious Path to Deep Learning Solutions
Witherspoon discusses how advancements in deep learning technologies are transforming vision-based inspection systems. He shows how others are successfully using barcode reading as a springboard to...
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Inspections for Food and Packaging: Reaching Expectations with Machine Vision, Spectroscopy and Hyperspectral Imaging
Consumers have growing expectations for the quality of the food they consume. Fortunately, many nondestructive solutions using light could provide information to ensure food quality with the help of...
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Low-Latency, On-Camera Inspection
As the landscape of computer vision and inspection moves toward larger sensors, higher throughput, and shorter time to decision, the need for edge-based, low-latency processing is continuing to...
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(59 results found)
Summer 2024
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