Mobile Device Destination Prediction for Access Control
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Solution Overview
Problem
Existing access control systems face difficulties in determining the final destination of a mobile device user within a building, as they lack the ability to accurately track and predict the user's movement and intent.
Innovation Solution
The system employs a destination determination engine with modules like mobile device activity determination, distance determination, and mobile device destination determination, utilizing inertial measurement units, GPS, and wireless signal triangulation to track and predict the user's destination, allowing access controls to actuate automatically upon arrival.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing access control systems are used to unlock rooms via mobile device, then access control functionality is provided, but the system cannot determine where the individual's final destination may be at any given time
Solution Approach 1:
The system performs preliminary tracking of the mobile device's location and movement patterns before the user reaches the destination. By continuously monitoring positional data and comparing it against stored trajectory patterns, the system predicts the final destination in advance, allowing the access control to be pre-triggered before the user arrives at the door.
Solution Approach 2:
The system uses feedback from continuous tracking of the mobile device's location, comparing real-time positional data against stored trajectory patterns. This feedback loop enables the system to determine when the user is on their typical path to a specific destination, allowing accurate prediction of the final destination based on the match between current and historical movement patterns.
2Ease of operation
If manual credential presentation is required for access, then security control is maintained, but convenience and efficiency are reduced
Solution Approach 1:
The system enables self-service access by automatically triggering the access control mechanism based on predicted destination without requiring the user to manually present credentials. The mobile device continuously provides location data, and the system autonomously determines when to unlock the door based on trajectory matching, making the entire process transparent and automatic for the user.
Solution Approach 2:
The access control is triggered in advance based on predicted destination before the user reaches the door. By continuously monitoring the mobile device's location and comparing it against stored trajectories, the system pre-determines when the user intends to access a specific room, allowing the door to be unlocked automatically before arrival, eliminating the need for manual credential presentation at the door.
3Measurement precision
If trajectory tracking and prediction systems are implemented, then destination prediction capability is improved, but system complexity and computational requirements increase
Solution Approach 1:
The system creates simplified copies of the user's movement patterns by storing representative trajectory data that captures the essential characteristics of paths between locations. Instead of storing every detailed movement point, the system stores key positional information and movement patterns that can be efficiently compared against real-time tracking data, reducing computational complexity while maintaining prediction accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables seamless access by predicting the user's destination and automating the unlocking process, eliminating the need for manual credential presentation, thereby enhancing convenience and efficiency in access control systems.
Implementation Method 1
utilizing inertial measurement units, GPS, and wireless signal triangulation to track and predict the user's destination
Implementation Method 2
utilizing inertial measurement units, GPS, and wireless signal triangulation to track and predict the user's destination
Implementation Method 3
utilizing inertial measurement units, GPS, and wireless signal triangulation to track and predict the user's destination
Data Source
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AI summary
A method of determining a destination of an individual carrying a mobile device including: detecting a first sequence of signal strengths between a mobile device and one or more access controls over a first time period; detecting an access request from the mobile device to a final destination access control of the one or more access controls along a first route when the first time period has expired; associating the first sequence of signal strengths over the first time period with the first route to the final destination access control; detecting a second sequence of signal strengths between the mobile device and one or more access controls over a second time period; and determining that the second sequence of signal strength correlates with the first sequence of signal strengths and that the mobile device is on the first route to the final destination access control during the second time period.