A Smarter Home: Edge AI for Interactive Appliance Control

Industry Webinar

A Smarter Home: Edge AI for Interactive Appliance Control

Jordan Rose Field Application Engineer, Rutronik

ABOUT

As Field Application Engineer, Jordan Rose develops evaluation kits based on the newest technologies available on the market like AI on the edge, radar sensors and GaN technology. He helps the customers to integrate those new components into their products, by writing detailed application notes, performing specific tests and developing complex algorithms.

Omar Cruz Senior Manager PSOC™ Edge, Infineon

ABOUT

Experienced technical product manager focused on go-to-market strategies for microcontrollers and microprocessors. Together with his team, Omar Cruz recently introduced a new Machine Learning enabled microcontroller to the market: PSOC™ Edge. He is based in Austin, Texas. After working for well-known processor IP and semiconductor companies, he joined Infineon in 2023.

The proliferation of smart home appliances has transformed the way we live and interact with our living spaces. However, the development of these appliances poses significant challenges, particularly when it comes to low-latency processing and non-connected devices.

Join us for this informative webinar as we explore real-world use cases in the smart home segment and highlight how to overcome some of the most typical challenges for developing smart home appliance applications, like:

Responding to sensor data and user inputs,
Implementing machine learning (ML) models that operate independently of the cloud,
Ensuring security to prevent unauthorized access and data breaches.

We will take a closer look at a specific "all-in-one smart home appliances" use case featuring a demonstrator from Rutronik that highlights how PSOC™ Edge and DEEPCRAFT™ Edge AI Solutions from Infineon can be a powerful combination for smart home appliance applications.

What you will learn:

Understanding the challenges of developing smart kitchen appliances and how PSOC™ Edge and DEEPCRAFT™ address these challenges
Exploring the capabilities of PSOC™ Edge, including its dual-core architecture, NPU hardware accelerators such as Ethos-U55 NPU and NNLite, and low power consumption
Learning how DEEPCRAFT™ simplifies the development of ML models for PSOC™ Edge and enables seamless deployment
Discovering real-world use cases for PSOC™ Edge and DEEPCRAFT™ in smart kitchen appliances, such as voice-controlled coffee makers and gesture-controlled cooking appliances

AI / Neural Networks

Consumer Electronics

Digital Signal Processing

Engineering Consulting

Industrial Automation

Security / Identification

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