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Vision Spectra Webinars
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SWIR Imagers and Beyond: Broadband Imaging Using Quantum Dots
VIS-SWIR sensors and cameras using quantum dot technology offer a wide spectral range from 400-2000nm, with tunability in its peak response across the spectrum. A high dynamic range for optimum...
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Optics and Cameras with Liquid Lens Technology: A Perfect Synergy to Take Vision Systems to the Next Level
Liquid lenses are arguably among the most popular trends in the field of machine vision as they ensure high precision, high speed, and maximum versatility. Mondadori discusses how this technology can...
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Discovering the Benefits of 10, 25, 50, and 100GigE Vision for Machine Vision Applications
High-speed machine vision systems require industrial cameras capable of handling the necessary speed and data rates with high reliability and performance. Emergent Vision Technologies offers 10GigE...
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FPGAs in Machine Vision Applications: Emerging Capabilities for These Computation Powerhouses
FPGAs have evolved from simple logic devices to computation powerhouses that are able to process images faster and more reliably than a CPU. This talk will cover current and emerging capabilities for...
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How FPGAs are Enabling Fast Raster Processing and Low Power Consumption
Today’s field programmable gate arrays (FPGA) have tens of TB/s access to internal memory and a direct connection between logic parts, which dramatically reduces the DRAM access requirements....
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Vision and Imaging for Warehouse and Logistics
The warehouse and logistics environment is fast-paced and although the value of the shipped goods is high, margins are thin and people are in a hurry. Factory-based machine vision is the most...
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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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Emerging Applications for 3D Vision-Driven Autonomous Mobile Robots
Glover provides a background on how 3D imaging and motion planning software technology is enabling autonomous picking, placing, stacking, and destacking of totes, bins, and boxes in warehouses. The...
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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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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...
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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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Vision Platform Approach – Rethinking Line Scan Systems
Developing and assembling the ideal configuration of a line scan camera system is a challenging and time-consuming task requiring extensive knowledge about cameras, optics, lighting, and the object's...
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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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3D Optical Metrology: Capabilities for a New Era
3D optical methods have come a long way from the early stereo viewers and multiangle sliding images that existed more than a century ago. As measurement tools, these methods have in the past 40 years...
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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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How to Design Machine Vision for Your Application: From Infrared to Hyperspectral
Andrew Bodkin, founder of Bodkin Design & Engineering, shares a technical overview of the process of machine vision sensing based on his 30 years of experience in electro-optics, custom...
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SWIR Colloidal Quantum Dot Sensor Bandwidth and Thermal Stability: Progress and Outlook
Shortwave infrared (SWIR) sensors, made using colloidal quantum dot (CQD) photodiodes, offer CMOS-like opportunities for highly scalable, small pixel pitch sensors. This is due to SWIR sensors’...
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The Vision System Acceptance Test: Defining "Done"
How do you know when a machine vision project is completed? How can you be sure all contractual obligations are met? The acceptance test answers these and other questions. West explains what the...
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Computational Meta-Optics Enable Ultrathin Cameras for Full-Color Imaging
High-quality cameras increasingly depend on extended systems of intricately optimized, aberration-correcting lenses. Unlike conventional lenses, metaoptics leverage subwavelength scatterers to...
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Spring 2024
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