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See It, Hear It, Sense It
360° Anomaly Detection Webinar for Real-world Industrial Applications
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If you’re ready to move beyond traditional, centralized systems for industrial monitoring, join Edge Impulse for a webinar on how to transform your anomaly detection capabilities with production-ready ML solutions that work across visual, audio, vibration, and temperature.
What You’ll Learn:
- Unlock the Power of Anomaly Detection: See how it works for computer vision, audio, and time-based sensor data.
- Learn from Real Success Stories: Hear how customers like GlobalSense use Edge Impulse to solve real problems.
- See Edge Impulse Live in Action: Discover how our platform makes anomaly detection simple and effective.
- Explore Endless Applications: Find out how anomaly detection can boost efficiency in many industries.
This webinar is perfect for ML engineers building production-ready anomaly detection systems, developers integrating edge AI into existing industrial infrastructure, and technical teams evaluating multi-modal monitoring solutions.
Join us to elevate your anomaly detection capabilities and deploy more efficient, accurate systems at the edge.
Our Presence:
Text LinkSpeakers:
Jenny Plunkett
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".
Speakers sessions:
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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