Mobile Device BTLE Ad Filtering for Access Control Intent
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Solution Overview
Problem
In environments with multiple access controls, such as hotels, users face challenges in capturing their intent due to the numerous Bluetooth Low Energy (BTLE) advertisements from locks, leading to complexity in determining which lock to interact with.
Innovation Solution
A method involving a mobile device that filters BTLE advertisements based on credentials, compares identifiers, and determines user intent through behavioral analysis, including prior behavior, location, and proximity, to selectively interact with the intended access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If the lock sends periodic BTLE advertisements to be always on, then the battery life is extended to many years, but the user receives advertisements from multiple locks which complicates capturing user intent
Solution Approach 1:
The system performs preliminary actions by having the lock send periodic advertisements in advance, so the mobile device can detect and filter them before the user needs to access the lock. This eliminates the need for the user to manually wake up the lock and allows the system to pre-process the advertisement data, reducing complexity at the moment of use.
Solution Approach 2:
The mobile device acts as an intermediary between the lock and the user. It receives advertisements from multiple locks, filters them based on credentials, compares identifiers, and determines user intent. This intermediary role resolves the contradiction by handling the complexity of multiple advertisements on the mobile device rather than requiring direct user interaction with each lock.
2Ease of operation
If the lock is always on sending periodic advertisements, then no button push is needed to wake the lock, but the number of advertisements from multiple locks increases user interaction complexity
Solution Approach 1:
The lock performs self-service by automatically sending periodic advertisements without requiring the user to wake it up. This improves ease of operation while the mobile device handles the complexity of filtering and identifying the correct lock through credential-based filtering and identifier comparison.
Solution Approach 2:
The mobile device serves as an intermediary that receives advertisements from multiple always-on locks, filters them using stored credentials, and determines which lock the user intends to access. This resolves the contradiction by transferring the complexity management from the lock to the mobile device.
3Device complexity
If multiple locks send BTLE advertisements simultaneously, then the system remains simple and distributed, but filtering and determining user intent becomes complex
Solution Approach 1:
The system segments the advertisement data by filtering based on credentials stored on the mobile device. Each lock's advertisement is segmented and evaluated independently against the user's credentials, allowing the mobile device to process multiple advertisements systematically and determine user intent through structured comparison.
Data Source
AI summary
A method of advertisement filtering including receiving advertisements from a multiple of access controls; filtering the received advertisements based on a credential on the mobile device; comparing the filtered received advertisements and determining a user intent to access a particular access control in response to the comparing and to a destination intent.


