Energy-Efficient ML Vision App Development with Ethos-U65 - NXP and Arcturus

Explore energy-efficient machine learning vision application development using the Ethos-U65 microNPU and Cortex-A55 CPUs on NXP's i.MX 93 applications processor in this comprehensive tech talk. Discover the smart occupancy sensing use case and gain insights into NXP's eIQ ML development environment, including ML runtime enablement, dataset curation, model training, and optimization. Learn how to accelerate application development by leveraging solutions and analytics from Arcturus to build edge vision applications for smart occupancy sensing, telesitting, safety, and security. The talk covers the capabilities of the I.MX93 with Ethos-U65, Arcturus' vision pipeline with a demo, and concludes with a Q&A session, providing valuable knowledge for developers interested in creating efficient ML vision applications.