In this technical webinar, Infineon and ipXchange explore what practical Edge AI system design looks like for engineers building low-power, sensor-driven products. The session will focus on how Infineon’s PSOC™ Edge hardware and DEEPCRAFT™ AI Suite support real-world Edge AI development, from local processing and sensor integration to efficient deployment workflows.
This is not a high-level marketing overview. It is an engineer-led conversation about what is possible today, where Edge AI is heading, and what developers need to consider when moving from traditional embedded systems to intelligent edge devices.
What you’ll learn
- Why Edge AI is becoming important for modern embedded and connected systems
- How local AI processing can help reduce cloud dependency, bandwidth use and latency
- Where Infineon’s PSOC™ Edge hardware fits into the Edge AI development workflow
- How DEEPCRAFT™ AI Suite supports model creation, evaluation and deployment
- What engineers need to consider when designing low-power AI systems
- How sensor data, hardware acceleration and embedded software come together in a practical Edge AI system
- What common challenges engineers face when moving from concept to deployment
This session is designed for embedded engineers, firmware developers, hardware engineers, product developers and technical decision-makers working on intelligent connected products.
It will be useful for engineers who are new to Edge AI, as well as those already exploring local inference, sensor-driven AI, TinyML, low-power AI hardware or embedded model deployment.
Free