July 18 - 20, 2023 Online. FREE Registration.
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Register or Log In to Watch
18
July
Cameras & Sensors
7:30 AM
PROMOTED
Vision Platform Approach – Rethinking Line Scan Systems
Maximilian Klammer (Chromasens GmbH)
Inspection & AI
8:05 AM
AI’s Role in Solving Low Light and HDR Challenges
Benny Munitz (Visionary.ai)
8:40 AM
Heat Maps and Optical Character Verification Take AI-Based Inspection to the Next Level
Martin Burian (PEKAT VISION)
9:15 AM
From Fabric Classification to Assessing Plastics Injection Molding: How Deep Learning is Transforming the Inspection Game
Eliyahu Davis (Deepview AI)
9:50 AM
Scaling Machine Vision and Delivering Value Beyond Detection: Smart Vision
Erin Barrett (Eigen Innovations)
10:25 AM
Supervised Learning Methods for Inspecting Semiconductors, Wafers, and Materials
Julie Orlando (Nanotronics)
11:00 AM
KEYNOTE
Technology and the Future of Work
Yossi Sheffi (Massachusetts Institute of Technology)
11:55 AM
PROMOTED
Implementation Fundamentals for Computer Vision in Automated Inspection
Quinn Killough (Landing AI)
Vision-Guided Robotics
12:30 PM
Emerging Applications for 3D Vision-Driven Autonomous Mobile Robots
Jared Glover (CapSen Robotics)
1:05 PM
AI Unlocks Comprehension Possibilities of Vision Guided Robotics
David Bruce (FANUC North America)
1:40 PM
Deep Learning Transforms Defect Detection, Quality Control, and Robotics Automation
Jim Anderson (SICK)
2:15 PM
Vision and Imaging for Warehouse and Logistics
Tom Brennan (Artemis Vision)
FPGAs
2:50 PM
How FPGAs are Enabling Fast Raster Processing and Low Power Consumption
Reuven Weintraub (Gidel)
3:25 PM
FPGAs in Machine Vision Applications: Emerging Capabilities for These Computation Powerhouses
Ray Hoare (Concurrent EDA)
19
July
Cameras & Sensors
8:00 AM
PROMOTED
Discovering the Benefits of 10, 25, 50, and 100GigE Vision for Machine Vision Applications
John Ilett (Emergent Vision Technologies)
8:35 AM
Optics and Cameras with Liquid Lens Technology: A Perfect Synergy to Take Vision Systems to the Next Level
Francesco Mondadori (Opto Engineering)
9:10 AM
SWIR Imagers and Beyond: Broadband Imaging Using Quantum Dots
Samiul Haque (Emberion)
9:45 AM
Exploring the Power and Possibilities of SWIR Technology: Applications and Advancements
Evan C. Jones (Basler)
10:20 AM
RDMA Technology for High-Speed Cameras Provides Optimal Image Transfer Over 10GigE
Alexis Teissie (LUCID Vision Labs Inc.)
10:55 AM
Multispectral Imaging: Possibilities Using Prism Technology
Mihály Baki (JAI)
11:30 AM
Trends in Sensors for Embedded Vision
Matthew Dyson (IDTechEx)
12:30 PM
Expanding the Use Cases for Event-Based Vision Systems
Luca Verre (Prophesee)
1:05 PM
Key Machine Vision Properties Create Colorful 3D Scanning in Motion
Tomas Michalik (Photoneo)
1:40 PM
Innovations in 3D Laser Profiling for Enhanced Metrology Applications
André Kasper (Automation Technology GmbH)
2:15 PM
Optical Sensing with Metasurfaces: An Evolution for Machine Vision Systems
Lars Johnsson (Metalenz)
2:50 PM
Simple Smart Cameras for AI and Industry
Mike Nagle (Baumer Ltd.)
3:25 PM
Line-Scan Cameras Improve Imaging Application Efficiency
Dale Deering (Teledyne Imaging)
20
July
Optics & Illumination
8:00 AM
PROMOTED
Simultaneous Quality Inspection, Verification, and Precise Color Measurement of Marked Characters on Product Surfaces
Ashley Faloon (Radiant Vision Systems)
Hyperspectral Imaging
8:35 AM
Hyperspectral Data Analysis: Algorithms and Pre-Processors for Industrial Sorting Applications
Mathieu Marmion (Specim Spectral Imaging)
9:10 AM
Quick and Intuitive Offline Hyperspectral Scanning to Support and Enable Real-Time Online Inspection Processes
George Killian (Headwall Photonics Inc.)
9:45 AM
From Hyperspectral Edge Computing to Smart Imaging
Matthias Kerschhaggl (EVK)
10:20 AM
The Importance of High Spectral Fidelity in Imaging Spectroscopy — From an Application Perspective
Trond Løke (HySpex)
Optics & Illumination
10:55 AM
Maximizing Multispectral or Hyperspectral Imaging Systems with Optimized Illumination
Matthew Branch (ProPhotonix Ltd)
11:30 AM
How Inspection Applications, Embedded Systems, and Other Vision Applications Are Optimized with Optical Filters
Georgy Das (Midwest Optical Systems)
12:30 PM
Software-Defined Imaging: AI Visual Inspection for Improved Quality and Yield
Keven Wang (UnitX)
1:05 PM
Lens Requirements for Different Harsh Environment Applications
Jaylond Martin (Edmund Optics)
1:40 PM
Key Considerations in Objective Selection for Machine Vision
Nick Sischka (Edmund Optics)
2:15 PM
Motorized and Calibrated Lenses for Machine Vision Applications
Mark Peterson (Theia Technologies)
2:50 PM
How Lighting Innovations Drive Manufacturing Advancements
Steve Kinney (Smart Vision Lights)
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