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Elevate Your Visual Inspection and Anomaly Detection Capabilities
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Discover how AI development tools are advancing to the point where some of the latest industrial-strength vision AI capabilities are being deployed right on the factory floor at the far-edge, including NVIDIA powered edge devices. Whether you’re in industrial manufacturing, energy sectors, semiconductor production, or embedded healthcare, this webinar will showcase real-world applications and demonstrate the power of physical AI at the edge to improve productivity, enhance safety and reduce costs.
You’ll Learn More About
- NVIDIA AI: Supercharge industrial vision AI application development with NVIDIA Metropolis, pre-trained CV models and the high-performance NVIDIA Jetson Platform for embedded edge computing.
- Edge Impulse AI development tools with NVIDIA TAO integration: Enhance your quality inspection and industrial asset tracking with higher accuracy and efficiency through synthetic data generation, model optimization and customization.
- Advantech's Industrial AI Cameras: Explore the industrial-grade all-in-one AI camera for real-world deployment and cutting-edge features.
- Industry Applications:
- Industrial, Energy, Semiconductor, Equipment Manufacturers: Learn about production line inspection, floor video analytics, optical character recognition, and defect detection.
- Embedded Healthcare, Medical, Hospitals: Discover inspection applications for medical devices, pills, vial contamination, and seals.
Hosted By: Advantech and Edge Impulse with NVIDIA
Our Presence:
Speaking Sessions:
Douglas Anson
As a 30+ year high-tech veteran, Douglas has been involved in many technological areas providing the entire range of vision, strategy, and implementation/development in various roles. His primary areas of focus include: edge/ML, industrial IoT, cloud computing, edge/IoT computing, embedded devices, and protocol development/mapping/integration. He has a MS degree in Computer Science from The University of Delaware and a BS in Mathematics from Stephen F. Austin St. University. When not working on high tech, he is a commercially rated pilot and aircraft owner who loves to explore the great state of Texas in search of the "$100 hamburger". He is also an actively practicing mixed martial arts student working towards his first degree blackbelt.
Chen Su
Chen Su is a Sr. Technical Product Marketing Manager at NVIDIA. He is passionate about collaborating with cross-functional teams and growing businesses fueled by IoT, AI, robotics and edge computing. Bringing clarity and creativity to cutting-edge technology and tools, he drove dynamic messaging and engagements to help global developers and partners achieve faster time to value and outcomes. Chen has a master's degree in engineering from the University of Pennsylvania and an MBA from the Berkeley Haas School of Business.
Melky Rebolledo
Melky Rebolledo is a Product Manager at Advantech USA. He helps manage Advantech’s video product portfolio, specializing in Machine Vision applications in the Industrial Automation space. He strives to learn about customer pain points and emerging needs to guide his product strategy for Advantech’s Industrial Camera product line (ICAM) and to smoothe the transition from rule-based to AI-based machine vision systems for ISVs and system integrators. Melky has a bachelor’s degree in mechanical engineering from University of California San Diego; and while not afraid of getting technical, he appreciates understanding the appropriate feature sets that turn products into useful, marketable solutions.
Join us on 25 April at 12:20-12:35 at the Embedded Park and Speakers Center for a presentation from Jim Bruges, Edge Impulse solutions engineer.
Jim Bruges is a seasoned Solutions Engineer at Edge Impulse, a company leading the charge in Edge AI innovation. Working with customers across industries including healthcare, industrial IOT, wearables and more, Jim has seen how Edge AI can be brought into today's products to provide valuable insights and meaning to the data these devices produce. By applying his previous experience in a wide range of engineering disciplines, including 4 years at Dyson, he advises clients about AI at the Edge and is an expert in Edge use-cases.
How to Train an Object Detection Model for Visual Inspection with Synthetic Data
Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
GTC 2024: Jetson and Robotics Developer Day
Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
Swift Path to Edge AI: Revolutionizing Development Through Synthetic Data
Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
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