Co-Presence Beacon Detection With Adaptive Proximity UI
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Solution Overview
Problem
Existing systems struggle to accurately determine the co-presence of user devices, particularly in urban areas or indoor environments where GPS signals are unreliable, leading to inefficiencies and potential fraud in transportation and delivery services.
Innovation Solution
A co-presence presentation system using WiFi, Bluetooth, and ultra-wideband signals to detect beacon signals and determine co-presence based on received signal strength indicator (RSSI) thresholds, with a dynamic user interface that adapts to proximity levels, providing real-time feedback and reducing cognitive load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GPS signals are used to determine co-presence, then location determination is simple, but reliability deteriorates in urban areas or indoor environments
Solution Approach 1:
The patent combines multiple signal detection mechanisms (WiFi, Bluetooth, ultra-wideband) into a unified co-presence determination system. This merging allows the system to maintain high reliability across different environments by selecting from multiple signal sources, resolving the contradiction between reliability and complexity.
Solution Approach 2:
The system implements multi-functional signal detection capabilities that can operate across various environments (urban, indoor, outdoor). By making the detection system universal and adaptable to different conditions, the patent maintains reliability without requiring separate specialized systems for each environment.
2Measurement precision
If multiple signal types are used to improve co-presence detection accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent implements dynamic signal selection and processing, where the system adapts which signal types to use based on environmental conditions and detection needs. This dynamic approach allows high measurement precision while managing complexity by not always processing all signal types simultaneously.
Solution Approach 2:
The system changes operational parameters (which signal types to detect, threshold values for RSSI) based on environmental context. By adjusting parameters rather than maintaining fixed complex processing for all signals, the patent achieves high precision while controlling system complexity.
3Productivity
If express user input is required to detect presence, then system complexity is reduced, but loss of time increases due to user delay
Solution Approach 1:
The system performs preliminary automatic detection of co-presence using signal processing before requiring any user action. This preliminary action enables the system to pre-determine presence status, reducing the need for user input and improving detection speed without excessive complexity.
Solution Approach 2:
The patent implements self-service detection where the system automatically monitors and determines co-presence without requiring user initiation or confirmation. This self-service capability improves productivity by eliminating user delay while keeping complexity manageable through automated signal processing.
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
Enhances efficiency and reduces resource waste by accurately determining co-presence, minimizing missed connections, and reducing fraud through precise proximity detection and intuitive user interfaces.
Implementation Method 1
A first device associated with a first user detects a beacon signal generated by a second device associated with a second user. The first device determines that the first device is co-present with the second device in response to determining that a received signal strength indicator (RSSI) of the detected beacon signal transgresses a threshold
Data Source
AI summary
The disclosed examples are directed to systems and methods for performing co-presence estimation. The systems and methods detect, by a first device associated with a first user, a beacon signal generated by a second device associated with a second user and generate co-presence information representing proximity between the first device and the second device based on detecting the beacon signal. The systems and methods select a graphical indicator from a plurality of graphical indicators of co-presence based on the generated co-presence information and present a proximity graphical user interface (GUI) comprising a map portion and a co-presence portion using the selected graphical indicator.