Home Automation Location Control via Wi-Fi Fingerprinting
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Solution Overview
Problem
Existing home automation systems fail to account for the location of users within a monitored region, relying on predetermined schedules or manual input for scene execution and zone bypassing, which limits their adaptability and user-centric control.
Innovation Solution
The system identifies user location using Wi-Fi fingerprints from mobile devices, creating a database or map of Wi-Fi signal strengths and coordinates to execute scenes or bypass zones dynamically, without requiring user interaction or triangulation methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If predetermined schedules or manual input are used for scene execution and zone bypassing, then system operation is simple and reliable, but the system cannot adapt to user location and loses user-centric control
Solution Approach 1:
The patent replaces manual mechanical input (users physically interacting with control panels or mobile apps to arm/disarm systems or execute scenes) with an automated wireless detection system. The control panel automatically detects user presence through wireless signals from mobile devices and triggers appropriate actions without requiring user interaction, thereby improving adaptability while maintaining operational simplicity.
Solution Approach 2:
The system performs self-service by automatically detecting user location and autonomously executing appropriate scenes or bypassing zones without requiring user commands. The control panel system serves itself by making intelligent decisions based on detected user presence, eliminating the need for manual input while adapting to user needs.
2Measurement precision
If user location tracking is implemented using traditional triangulation methods, then location accuracy can be achieved, but it requires a blueprint of the monitored region and increases system complexity
Solution Approach 1:
Instead of using complex triangulation mathematics that require architectural blueprints, the patent creates a simplified digital copy of the physical space's wireless signal characteristics. The system builds a database of wireless signal strengths at known locations during setup, then uses this copied information to identify user location by matching current signal readings against the database, achieving accurate location tracking without requiring blueprint data or complex calculations.
3Ease of operation
If the system requires user interaction for scene execution and zone bypassing, then control precision is maintained, but user convenience and automation are reduced
Solution Approach 1:
The system performs self-service by automatically detecting user location and autonomously executing appropriate scenes or bypassing zones without requiring user commands. The control panel system serves itself by making intelligent decisions based on detected user presence, eliminating the need for manual input while adapting to user needs.
Solution Approach 2:
The system implements feedback by continuously monitoring wireless signals from user mobile devices, detecting user presence and location, and automatically adjusting system behavior accordingly. This closed-loop feedback mechanism enables the system to respond dynamically to user needs without requiring explicit user commands, thereby improving ease of operation while achieving a high level of automation.
Data Source
AI summary
Systems and methods for controlling a home automation system based on identifying a user location via a Wi-Fi fingerprint are provided. Some methods can include receiving one or more signals from a mobile device in a region monitored by the home automation system, identifying a signal strength of the one or more signals, based on the signal strength of the one or more signals, identifying a Wi-Fi fingerprint to be associated with the mobile device, identifying known coordinates within the region that are associated with the Wi-Fi fingerprint to be a location of the mobile device, and based on the location of the mobile device, identifying one or more actions to be executed by the home automation system.