NXP has launched Google Android Things modules to let hardware makers embed Android Things and Google support into multiple devices in a smart home environment.
NXP said that its Android Things platform supports the new Google Cloud IoT Core, a fully managed service that allows users to easily and securely connect and manage devices.
The Cloud IoT Core includes various Google services that unlock the value of real-time IoT data for smart city initiatives and deployments.
Cloud IoT Core was designed to simplify digital transformation by helping customers leverage Google Cloud’s data analytics and machine learning capabilities and act on insights, in real time, from operational data that was previously inaccessible, said Adam Massey, Director of Strategic Technology Partners at Google Cloud.
Developed in early partnership with Google, the NXP Android Things platform features an i.MX applications processor to enable cost-effective, feature-rich functionality to a broad group of developers, makers and OEMs.
“Driving smart experiences at a large scale requires an ecosystem of advanced end node devices that seamlessly and securely connect with one another,” said Geoff Lees, senior vice president and general manager of the microcontroller business line at NXP. “Supporting the new Google Cloud IoT Core empowers developers to create devices with more reach, security, awareness, and capability that is demanded by the IoT market.”
The Google Cloud IoT Core includes services such as Pub/Sub, Dataflow, Bigtable, BigQuery, and Data Studio to provide a complete solution for collecting, processing, analyzing, and visualizing IoT data in real time to support improved operational efficiency.
Key features of the new Cloud IoT Core solution include end-to-end security using certificate-based authentication and TLS. Devices running Android Things or ones supporting the Cloud IoT Core security requirements can deliver full stack security.
Also, out-of-box data Insights use downstream analytic systems by integrating with Google Big Data Analytics and ML services. Automatic device deployment uses REST APIs to automatically manage the registration, deployment and operation of devices at scale.