Unlock the Future of Industrial AI with Advanced Acoustic and Vibration Monitoring

Virtual

Booth

November 19, 2024

Watch On-Demand

Date & Time

November 19, 2024

Location

Virtual

Watch On-Demand

Discover how Syntiant, Renesas, Avnet, and Edge Impulse are transforming industrial monitoring with cutting-edge edge AI solutions. This webinar will delve into acoustic condition monitoring, voice-enabled commands, and security applications, showcasing how these technologies enhance operational efficiency and security. Join us to explore how advanced edge AI can drive innovation in industrial and security applications.

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What You'll Learn:

Syntiant's Edge AI Models: Explore advanced acoustic and vision models designed for industrial and security applications.
Renesas Hardware Integration: Learn about the RASynBoard and its role in supporting these AI solutions.
Edge Impulse Software Tools: See how Edge Impulse's software facilitates model training and deployment.

Why Attend:

Live Demo: Experience the technology in action and see its impact on real-world applications.
Case Studies: Hear success stories and learn how these solutions have transformed operations.
Q&A Session: Engage with experts and get answers to your specific questions.

Industry Applications:

Industrial Manufacturing: Improve equipment monitoring with combined audio and vibration data.
Transportation: Enhance vehicle health and fleet management with real-time diagnostics.
Security: Implement advanced security solutions like glass break and gunshot detection.

Who Should Attend:

CTOs, Operations Managers, Embedded ML/AI Engineers, and Security Professionals interested in advancing industrial AI solutions.

Hosted By:

Syntiant, Renesas, Avnet, and Edge Impulse

Our Presence:

Speaking Sessions:

Brian Witzen

Brian is analytical, energetic, and a detail-oriented BDM with experience in Technical Sales, Support and Applications Engineering. Utilizing his experience in the Aerospace, Defense, Medical and commercial markets, he has grown sales and market share for each company and product line he’s supported.

Brian Willess

Brian Willess is a Technical Solutions Engineer at Avnet working out of Southport NC. Brian’s focus is on IoT Device firmware, cloud connectivity and ML. Brian holds a BSE in Computer Systems Engineering from Arizona State University and has over 20 years of professional experience developing low level firmware, managing firmware teams and firmware projects.

Mallik Moturi

Mallik is a technology executive with broad experience in driving cutting-edge technologies, products, systems, and solutions in AI, Edge Computing, Semiconductors, Digital Communications with global customers, OEMs, ODMs and partners. His background includes product management, business development, marketing and core technology development in software and hardware.

Joshua Buck

Joshua Buck is an embedded developer with experience in test & measurement, HiL/SiL for automotive, and industrial IoT applications. He has previously worked at National Instruments in applications engineering, analog ASIC V&V, and project management. After National Instruments, he moved into test engineering and embedded development at American Innovations. He is currently a Senior Solutions Engineering Manager at Edge Impulse specializing in AI/ML applications for edge and embedded devices.

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".