At the second layer, it contains the knowledge and understanding of the devices it is connected to.
The starting point is the global device knowledge graph that provides device properties and meta data such as brand name, model and series information, manufacturer, current capabilities and offerings, their physical and software characteristics, compatible devices, region information, and much more. In order to intelligently grow our device knowledge graph as well as to intelligently search inside this ever-growing knowledge graph, QuickSet® is supported by Discovery, Predictive and Search/Prioritization Engines.
The Discovery Engine automatically identifies connected devices by calculating fingerprints and matching the information against the device knowledge graph, across different interfaces including HDMI, IP, and Zigbee rf4ce networks without any user intervention. It returns a device object including device type, brand, model, and control information.
The Predictive Engine leverages the knowledge graph of devices to predict the identity of a device and its associated attributes. Using its device fingerprinting technique and leveraging the constantly growing knowledge graph of devices, it extends the automatic discovery and control capabilities of QuickSet®.
The Search Engine provides an optimized route for users to quickly search and narrow down the meta data and control information for their devices. Additionally, this engine includes a wizard driven process for setting up devices for a disconnected control point. Part of the Search Engine is the Prioritization Engine which allows for intelligent filtering, prioritization and model search capabilities based on market and location specific meta-data help in simplifying on-screen wizard to only what is relevant to the consumer, improving the user experience.