This week, at the IoT Solutions World Congress in Barcelona, NXP will be showcasing vision, voice and anomaly
detection capabilities leveraging machine learning technologies in industrial IoT use cases.
NXP booth guests will participate in an engaging interactive experience, which demonstrates pervasive edge-based
machine learning across a variety of industrial IoT applications. Aimed at inspiring how the most fundamental
powers of the intelligent edge can be leveraged, guests will follow the path of an industrial drone from the
beginning to the end of the drones’ operable lifecycle.
As real-world proof points, the NXP booth experience will
demonstrate new system solutions enabling edge-based machine learning, including local training and inference for
vision, voice and anomaly detection models. These capabilities scale across the NXP processor portfolio in a wide
range of secure IoT edge devices, from facial recognition for access control, to object recognition for operator
safety, to local voice control commands and artificial intelligence derived anomaly detection for predicting and
preventing failures during drone flight operation.
Through this journey, guests can imagine how their own systems and IoT devices could
deliver insightful intelligence through what they see, hear and sense around them, throughout the product
lifecycle.
NXP System Solutions include production grade, pre-integrated certified hardware and
software that enable manufacturers to quickly, easily and cost-effectively add combinations of machine learning
capabilities to their IoT products.
Explore NXP’s complete machine learning solutions leveraging vision, voice and
anomaly detection at IoT World Congress in Barcelona, October 16-18 in Booth
#261 located in the Gran Via – Hall 2, Street B, Level 0