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5 Things Anyone Doing Computer Vision At the Edge Should Know
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The convergence of artificial intelligence and edge computing is transforming industries by enabling real-time decision-making and smarter operations. In particular, computer vision at the edge enables several use cases for fleet management, including predictive maintenance, object or defect detection, retail shrinkage avoidance, worker safety, and quality control. However, developing, deploying, monitoring, and orchestrating computer vision AI models at the edge introduces complex challenges—from limited computing resources, and dealing with a manual, time-intensive deployment process, to managing large-scale, distributed systems securely and efficiently.
In this exclusive joint webinar, ZEDEDA and Edge Impulse will explore how businesses can overcome these challenges and unlock the full potential of AI at the edge, leveraging advancements from both platforms. Join Aurelien Lequertier, Lead Solutions Architect at Edge Impulse, and Yogesh Soni, Principal Product Manager at ZEDEDA, as they explain key challenges that must be addressed to successfully implement computer vision at the edge.
You’ll learn:
- How and why data handling and contextualization at the edge matters
- How to manage diverse AI applications on a large fleet of heterogeneous devices
- Best practices for protecting data integrity and edge device integration
- And much more!
Tune in live on December 11, 2024 at 9am PST to ask questions live. The replay will be available.
Our Presence:
Speaking 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.
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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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