NXP Semiconductors NV, today announced that it will be demonstrating its microprocessor (MPU) at the AWS re: Invent conference 2017 with Amazon Web Services (AWS) services running on NXP's Layerscape, Microcontroller (MCU) and application processor for a variety of Internet of Things (IoT) and secure edge processing applications Support for secure edge processing reduces latency and bandwidth requirements and increases the security of IoT solutions.
Today's IoT applications all have edge processing and security requirements. To this end, NXP has developed a powerful distributed cloud / edge software platform that provides the necessary security configuration, connectivity and processing capabilities to connect AWS edge processing devices Provide support and create conditions NXP will be showcasing the following applications at AWS re: Invent conference:
• Continuous facial recognition based on machine learning with AWS cloud training and edge reasoning • Seamless integration of edge devices with AWS IoT and AWS Greengrass services • Security device configuration and container software certification • NXP's industrial Linux platform OpenIL with time-sensitive support Network (TSN) and AWS Greengrass-based processing • IoT edge gateways that support thousands of wireless connectivity sensor nodes and cloud connectivity
Tareq Bustami, NXP Senior Vice President, said: "NXP offers a broad portfolio of MCUs and MPUs for building IoT solutions. Connectivity with AWS IoT Services including AWS Greengrass To build a robust, flexible and secure system Provide a strong guarantee. '
NXP will be exhibiting at booth # 200 at NXP booth # 200, Digi International # 209 and the Builders Fair.
For Re: Invent Assembly Builders Fair Featured, Layerscape Based IoT and Edge Processing Solutions
Visitors can participate in a hands-on learning experience at the Builders Fair in Hall Aria, giving visitors the chance to browse over 45 projects, including the NXP project.
Layerscape-based solutions demonstrated at the Builders Fair include:
• IoT and Edge Gateway • Industrial Linux and TSN for Industrial Internet of Things • AWS Greengrass Integration • Face Recognition Based on AWS Cloud Continuous Training and Local Reasoning