Home Assistant Video Integration for User Identification
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Solution Overview
Problem
Home assistant devices are limited in functionality as they can only listen to users and their environment, lacking the ability to integrate with video services to provide enhanced user interaction and event management.
Innovation Solution
Integration of a network-enabled video camera with a home assistant device to capture video streams, allowing for user identification and access to cloud-based calendar accounts, enabling the announcement of scheduled events, traffic information, and video/image capture based on spoken commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a home assistant device only uses audio listening capability, then the device complexity is low, but the functionality and user interaction capability are limited
Solution Approach 1:
The patent combines a video camera module with the home assistant device to create a multi-functional system. The video camera captures video streams that are processed to identify user presence and characteristics, which then enables the home assistant to provide personalized responses and control smart home devices based on visual information in addition to audio commands.
Solution Approach 2:
The integrated system performs multiple functions: audio listening for commands, video capture for user identification and presence detection, image processing for analyzing user characteristics, and smart home device control. This multi-functionality allows a single device to serve as both a voice assistant and a visual monitoring system.
2Measurement precision
If video stream analysis is added to identify users, then user identification capability is improved, but processing time and computational resources increase
Solution Approach 1:
The system continuously captures and processes video streams in the background to identify user presence and characteristics before audio commands are processed. By pre-analyzing visual information, the system prepares user identification data in advance, so when a user speaks, the identification can be quickly matched with the audio command without delaying the response.
Solution Approach 2:
The patent replaces traditional audio-only user identification with a visual-based identification system using video stream analysis. Image processing algorithms analyze facial features and other visual characteristics to identify users, providing more accurate and reliable identification compared to audio-based methods alone.
3Ease of operation
If integrated video service is added to the home assistant, then user interaction capability is enhanced, but device complexity increases
Solution Approach 1:
The patent introduces an image processing module as an intermediary between the video camera and the home assistant core. This module handles the complex tasks of analyzing video streams, identifying users, and extracting visual information, thereby simplifying the interface between the video capture hardware and the decision-making logic of the home assistant.
4Productivity
If real-time event notifications are provided based on calendar data, then productivity is improved, but system complexity increases
Solution Approach 1:
The system automatically accesses the user's calendar data, analyzes upcoming events, and generates notifications without requiring manual user input. The home assistant autonomously determines when to notify the user about scheduled events based on the current time and calendar information, providing proactive time management assistance.
Data Source
AI summary
Various arrangements are detailed herein related to managing video recording based on spoken commands. A system receives a video stream from a video camera and analyzes a field of view in the received video stream to determine a location for one or more identified or potential users. The system can beamform audio from microphones of a home assistant device based on the location of the one or more identified or potential users. The system adjusts an audio output based on the location of the one or more identified or potential users, receives a spoken command from the one or more identified or potential users, and outputs a response to the spoken command.