Vision Show 2022
Quality Inspection Using Machine Vision with AI
Tad A.G. Newman, Omron
The breadth and scope of machine vision has expanded significantly over the years along with advances in technology, making it a ubiquitous and critical application for today’s world-class manufacturers. The economic justification of implementing unit-level quality inspection in manufacturing operations is substantial.
Color Correction: Multi- and Hyperspectral Imaging
Andreas Platz, Sill Optics
Color information is becoming more and more important in a lot of machine vision applications. Such as biomedical, food and drug industries, but also for precise measurement in semiconductor industries. To take full advantage of getting additional information from the wavelength besides just the dimensions.
Optimize Overall Equipment Effectiveness
Neil Farrow, DataSensing - A division of Datalogic
Overall Equipment Effectiveness (OEE) is a proven way to measure and analyze a manufacturing process. Having a mindset from tracking OEE metrics lets production stakeholders find and improve areas of their process for maximum return on investment (ROI).
Calibrated and Characterized Lenses
Mark Peterson, Theia Technologies
Many applications have benefited from improved performance and speed by using image sensors with higher resolutions, GPUs and ASICs that allow higher data processing speed and image throughput. However just having more data from higher resolution sensors is not automatically useful and depends greatly on the quality of the data.
Embedded Vision and Industrial Automation
Maharajan Veerabahu, e-con Systems
As machines become more powerful, it inherits the capacity to process more information from their surroundings via sensors. This ability is leveraged by modern factories and industries to bring more computing from the cloud to the edge.
Optimizing Your Robot Deployments
Kevin Carlin, Realtime Robotics
The key success factor in the manufacturing and logistics industries is rate – how do you do things faster, better, and more efficiently, without paying for more employees? Over the next decade, 4.6 million manufacturing jobs will likely be needed, and at least 2.4 million of them are expected to go unfilled. That is why robots are so important. But industrial optimization is hard.
A Low-Code Approach to the Digital Economy
José Pedro Ferreira, Neadvance
Throughout History, humankind has always been dependent on technology. People used the technology they had available to help make their lives easier. Today we are living the exciting journey of the fourth industrial revolution where data, connectivity and cyber-physical systems are taking in our lives.
Seeing the Invisible Helps with Quality Control
Anupriya Ashok Balikai, Spookfish Innovations
Visualizing a prism is sure to take us back to high school physics, where we learnt about how white light contains the entire spectrum of visible light. In this session we will see what lies beyond this in both directions of the visible light and how this can be applied to machine vision and the manufacturing industry.
Fake it Until You Make it
Laura Pahren, Procter & Gamble
Constraints on image collection in manufacturing has become a driver for synthetic images, whether it be disruption to manufacturing itself or introduction of new product types. For deep learning applications, the intelligence is artificial, so why not artificial images too? Synthetic images can offer additional model robustness in terms of image capture, defect variability and even background independence.
Open Source Technology for Inspection Problems
Chris Aden, LMI Technologies
The number of innovations in AI technology has been growing at an amazing clip since the mid 2010s. Unlike the early pioneers of computer vision technology, who invested-in and often patented rules based computer vision algorithms featured in expensive do-it-yourself kits, the innovators of modern AI technology have chosen to deliver not just ideas, but the software itself to the community at large.
3D Machine Vision Standards for Manufacturing
Kamel Saidi, National Institute of Standards and Technology
The session will introduce the work that the National Institute of Standards and Technology (NIST) and ASTM International Committee E57 on 3D Imaging Systems have been doing to develop voluntary industry standards for the use of 3D imaging systems in manufacturing applications.
Improving Safety and Productivity Together
Patrick Sobalvarro, Veo Robotics
Productivity and safety are typically contrasting concepts in the manufacturing world as it is traditionally practiced. For decades, organizations have had to sacrifice one for the other, with traditional warehouse safeguarding methods contributing to slower processes and a hit to output. Ironically, this reality has worsened since manufacturers have increased their use of robotics and automation in warehouses.
The Next Big Thing in 3D Machine Vision
Photoneo presents the next silver bullet in 3D machine vision. Get to know the most efficient technology for real-time colorful 3D point cloud creation of moving scenes in high quality.
Barcode Reading and Deep Learning
Jim Witherspoon, Zebra Technologies
At first glance, barcode reading and deep learning fall on opposite ends of the innovation spectrum. Barcode reading is foundational technology that has been around for decades and is often overlooked as a sub-class of vision applications. Today however, thanks to drastic market shifts and the surge in deep learning, barcode reading is regaining some of its previous luster.
Infrared Imaging with IOT and Fire Warning Systems
David C. Bursell, MoviThermThis presentation explains how industrial facilities are finding ways to mitigate and prevent fire damage by implementing infrared camera (IR) technologies and the Internet of Things (IoT) for early fire detection. Fire safety is an area that realizes the benefits of IoT when combined with IR camera systems.
Photo-Realistic Simulation for Robotic Systems
Erin Rapacki, NVIDIA
Using A Data-Driven Approach to Visual Inspections
Krishna Gopalakrishnan, Elementary RoboticsThis talk will discuss machine vision systems powered by machine learning. The talk will review applications that new cloud-based ML vision systems are able to solve, allowing customers to get full traceability and be able to close the loop on their inspection processes.
LED Multispectral Imaging
Thomas Brukilacchio, Innovations in Optics
Recent advances in high optical power LED light sources in combination with newly available InGaAs image sensors has enabled Multispectral Imaging to replace more complex and expensive Hyperspectral Imaging systems in many applications for objects characterized by slowly varying spectral reflectance.
Manufacturing Through a Very Different Lens
Prasad Akella, Drishti
Drishti is a provider of AI-powered video analytics technology that gives visibility and insights for manual assembly line improvement.
Event Cameras Come of Age for Machine Vision
Jacob Vingless, Prophesee
Understand how Prophesee Event-Based Metavision can be applied to achieve new performance and efficiency levels in inspection, counting, predictive maintenance and process monitoring.
From the Pitching Mound to the Traffic Light
Jumbi Edulbehram, NVIDIA
The universe of applications for machine vision and intelligent video analytics is growing rapidly. These new use cases open up massive opportunities for application providers and system integrators. This presentation will explore some key use cases in intelligent transportation and sports.
Distribution & Fulfilment Workflows & Robotics
Bruce Baring, Tompkins Robotics
Explore how different robotic technologies serving different operational functions can be integrated to provide enhanced performance and faster ROI
Warehouse Pick-and-Place Logistics
Dan Grollman, Plus One Robotics
When developing industrial machine-learning based vision solutions, collected datasets are often kept private in the belief that they represent competitive advantage, some ‘secret sauce’ that, if released, would allow others to leapfrog ahead using off-the-shelf learning models.
The Benefits of Active Optical Cables
Mark Jakusovszky, Silicon Line GmbH
Higher resolution imagers and higher frame rates have put a tremendous strain on traditional copper video cables, resulting in shorter, thicker cables and elaborate, power-hungry active cabling solutions. Meanwhile, fiberoptic Active Optical Cables (AOCs) have improved tremendously in the past 5 years into a reasonably priced, nearly transparent replacement for copper cables.
3D-Perception-Based Applied AI Solutions
Pat Duda, RoboceptionThis talk discusses how 3D-perception-based Applied AI – the smart coupling of advanced machine learning algorithms and classical image processing methodologies – are key to an efficient response to (all) three major trends in robotics today.
How Increasing Perception Decreases Costs
Garrett Place, ifm efector
Mobile robotics is proven to be a great answer to many current business problems. Unfortunately, only the largest of manufacturers are implementing full solutions to date. The reason: Entry price. Today’s mobile robot fleets can come with large price tags (both CapEx and maintenance), creating a challenging ROI calculation that only the largest manufacturers can solve.
Component Technologies for SWIR Cameras
Ian Blasch, JabilNon-automotive autonomous platforms, designed to operate in outdoor environments, such as lawn mowers, last mile delivery robots, agricultural robots, forklifts, etc. require sensors, typically 3D cameras for obstacle detection and collision avoidance. However, the majority of leading 3D cameras currently use active illumination sources operating at 850nm, 905nm, or 940nm prone to failure in high ambient light conditions.
Supercharging Machine Vision
Scott Everett, Eigen Innovations
Machine vision is a powerful solution for managing defects. Is it the key to preventing them? Eigen’s Scott Everett discusses three ways manufacturers can leverage image data to get a handle on product and process variability.
Self-Aware Multi-Function Cables - Machine Vision
Jerome Taylor, Nortech Systems
A paradigm shift is occurring across the electronics industry where vision and sensor systems are rapidly advancing in intelligence, processing capability, and independence, leading to the need to communicate more data reliably. Added to this are increasing deployments of factory automation and monitoring systems.
UV, VIS, IR
Georgy Das, Midwest Optical SystemsFilters are an extremely simple and cost-effective optical component capable of producing exceptional imaging results in a wide range of vision applications operating across applications such as Microscopy, Inspection, NDVI, Near IR and SWIR.
AI Decision-Support for Visual Inspection
Ed Goffin, Pleora Technologies
Industrial Machine Vision Applications
Daniel Loucks, CorningCorning Incorporated is a US based multinational technology company that manufactures specialty glass, ceramics, and related materials and technologies, primarily for industrial and scientific applications. The company was founded in 1851 and it operates in the 5 major business sectors of display technologies, environmental technologies, life sciences, optical communications, and specialty materials.
What is Hyperspectral Machine Vision?
Alexandre Lussier, Resonon
Hyperspectral imaging combines standard imaging with spectroscopy to provide enhanced vision capabilities that no other imaging technique can provide. It can be summarized as chemical analysis with pixel resolution. In this presentation, we will cover imaging, analysis, and machine vision applications with the goal of attendees walking away with a sense of what hyperspectral machine vision is.
Easy Vision & AI Programming
Philip Freidin, IDS Imaging Development
Finding, counting, inspecting, sorting or privacy is possible even without knowing the syntax of a specific programming language. With this new degree easiness, AI vision becomes accessible to everyone.
Depth Perception and Object Detection
Stephen Se, Teledyne FLIR
Today there are a number of off-the-shelf stereo depth perception systems on the market. However, depending on factors such as accuracy, baseline, size, weight or cost, there are times system engineers need to build a custom system. In this talk, we will discuss key design drivers for using stereo vision and provide step-by-step instructions on how to build your own compact, lightweight and affordable embedded stereo vision-based system.
Machine Vision in Consumer Packaged Goods
Paul Thomas, Procter & Gamble
Mobility, Perception, & Manipulation
Kevin Blankespoor, Boston Dynamics
LiDAR and Hyperspectral Imaging
Slawomir Piatek, HamamatsuOverview of remotely sensing distance and hyperspectral imaging, including LiDar, and examines different approach to hyperspectral imaging. Then describes a functioning device which combines LiDAR and hyperspectral imaging and ends with examples of applications utilizing such device.
Advances on 3D Laser Line Profilers
Athinodoros Klipfel, AT - Automation TechnologyLearn about latest developments on 3D laser line triangulation sensors including the speed-boosting Widely Advanced Rapid Profiling technology (WARP) and the new Genicam interface with the MultiPart and MultiPeak features. Their advantages are demonstrated on selected examples of 3D inspection applications.
Crash Course in Machine Vision
Frantisek Jakubec, BalluffNever implemented a vision application before? New grad, new job, new expectations? No technical experience? No problem! In this crash course for beginners or for those who are rusty, we will cover the basics of machine vision applications, common terms, must-have parts of a machine vision application and the possible traps to watch out for. Using vendor neutral stories, we will discuss the four major application areas of machine vision.
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