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 simultaneous advertising of multiple locks by Bluetooth Low Energy (BTLE) devices, leading to confusion and inefficiency in determining which lock to interact with.
Innovation Solution
A method and system that utilize a mobile device to receive advertisements from multiple access controls, filter them based on credentials, and determine user intent through signal strength, location, and communication history, allowing for secure and efficient interaction with the intended lock without the need to manually wake it up.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If the lock is always on with periodic BTLE advertisements to enable low-power operation, then battery life is extended to many years, but multiple locks within range cause advertisement confusion and complicate user intent capture
Solution Approach 1:
The mobile device segments and filters the multiple incoming advertisements by credential, separating relevant lock advertisements from irrelevant ones based on the user's access rights and current context
Solution Approach 2:
The mobile device acts as an intermediary between the multiple locks and the user, processing and filtering advertisements before presenting them to the user, thereby resolving the confusion caused by multiple simultaneous advertisements
2Ease of operation
If multiple access controls simultaneously advertise via BTLE, then users can access locks without manual wake-up, but the simultaneous advertisements from multiple locks create confusion and inefficiency
Solution Approach 1:
The mobile device performs preliminary filtering and sorting of advertisements before the user needs to interact with a lock, pre-processing the information to identify the most relevant target based on credentials, signal strength, and location
Solution Approach 2:
The system uses feedback from multiple sources including signal strength (RSSI), location data, and communication history to dynamically determine user intent and select the appropriate lock, continuously adjusting the selection based on real-time conditions
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.


