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Training
IoT Edge Intelligence for Smarter Buildings

IoT Edge Intelligence for Smarter Buildings

About This Training

Commercial and residential buildings are rapidly evolving to leverage machine learning (ML) and artificial intelligence (AI) technology for on-site edge processing solutions. Smart energy gateways and building management systems strive to reduce power consumption and operating costs, while simultaneously increasing occupant safety, comfort and productivity. In this webinar, experts from NXP will present the leading smart building applications and show how they can leverage ML intelligence on the premises, i.e., at the Internet of Things (IoT) edge.

We will walk through the complete development flow for a building automation management example, starting with data collection and curation, model selection, training and optimization and finishing with model deployment on NXP devices by using the eIQ^®, ML software development environment.

Presentation

IoT Edge Intelligence for Smarter Buildings

Training Outline

Smart Building AI/ML market opportunity

AI/ML-based building automation application examples

Access control and monitoring for health directives

Occupancy-based lighting and HVAC control for increased comfort and energy savings

Predictive systems maintenance

Introduction to the NXP eIQ Toolkit and Portal for machine learning development

Scenario analysis with a live demonstration of the eIQ Portal

Walkthrough of labeled dataset selection, data curation, model training and optimization

Deployment to the device

Screen capture and video of demonstration

Presented by

Ali Osman Ors
AI and ML Strategy and Technologies, NXP Semiconductors
Tashia Mehdi
JField Applications Engineer, MPUs – EMEA, NXP Semiconductor

DURATION

55 min

LANGUAGE

English

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Additional Resources

Factory Automation

eIQ ML Software Development Environment

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