Telemetry-Based Mobile Device Clumping for Proximity Alerts
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Solution Overview
Problem
Existing systems face challenges in efficiently determining and associating locations of community members and entities within close proximity, making it difficult to manage interactions and provide visibility and safety advantages for users.
Innovation Solution
A system and method utilizing GPS data and telemetry servers to geolocate disparate mobile devices, determine community memberships, and alert users when they are within a predetermined proximity of each other, incorporating algorithms to manage clumping of users, vehicles, and locations based on GPS coordinates and reverse geocoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If location data is shared through multiple media (social media, SMS), then users can communicate location information, but it becomes difficult to consolidate and navigate location data across different platforms
Solution Approach 1:
The patent consolidates location data from multiple disparate sources (social media, SMS, GPS applications) into a single unified interface. The system merges these different data streams and presents them together, allowing users to view and navigate all location information in one place rather than switching between multiple applications and platforms.
Solution Approach 2:
The patent introduces a intermediary system that acts as a mediator between various location data sources and the user. This intermediary consolidates data from multiple platforms, processes it through a unified interface, and presents consolidated location information, thereby simplifying user interaction with complex multi-source location data.
2Reliability
If the system monitors all community members continuously, then users can see who is nearby, but it increases power consumption and data processing requirements
Solution Approach 1:
The patent implements selective monitoring where the system does not continuously track all community members at full resolution. Instead, it uses partial monitoring approaches, only actively tracking and processing location data for members who are relevant to the current user context, thereby reducing overall power consumption while maintaining sufficient monitoring reliability.
Solution Approach 2:
The system employs periodic location updates rather than continuous monitoring. Location data is refreshed at intervals rather than constantly, which significantly reduces the power consumption and data processing requirements while still maintaining reliable location awareness for community members within the service area.
3Reliability
If proximity alerts are sent to all users in a community, then everyone receives safety information, but it creates unnecessary notifications for users not in close proximity
Solution Approach 1:
The patent applies local quality by making alert delivery location-dependent. Instead of sending notifications to all community members uniformly, the system determines the geographic proximity of each user to the alert source and only sends notifications to those within a relevant distance threshold. This ensures safety information reaches affected users while avoiding unnecessary notifications to those not in close proximity.
Solution Approach 2:
The system dynamically adjusts the notification parameter based on location parameters. By changing the alert delivery behavior according to spatial relationships - sending notifications only when proximity conditions are met - the system maintains reliable safety alert delivery to those who need it while reducing the total quantity of notifications to appropriate levels.
Data Source
AI summary
Systems and methods are provided for a clumping system comprising a telemetry server accessibly by a first device of a first user that receives GPS data from the first device and determines a location and an area classification of the first user based on the GPS data. A clumping application is stored on a non-transitory computer-readable medium and is executed by processors. A community of the first user and identities of entities within the community are received from a telemetry database. Locations of the entities are determined based on GPS data from devices associated with the entities. Distances between the first user and the entities are compared to a predetermined threshold that is based on the area classification. Based on the comparison, the community is designated an active community. The first user is alerted of the active community and the active community is graphically rendered on the first device.