Geospatial Broadcast Source Mapping for Continuous Media Reception

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Solution Overview

Problem

Receivers face challenges in identifying and receiving media streams from broadcast sources due to geographical limitations and radio-frequency interference, especially when traveling, as they may drop out of range and struggle to identify compatible sources.

Innovation Solution

A MapView system that utilizes geospatial data and machine-learning models to predict and present media streams based on user characteristics and preferences, displaying icons of broadcast sources on a geographical map and facilitating their selection and presentation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If receivers use radio-frequency-based communication to receive media from broadcast sources, then media reception is enabled within range, but receivers drop out when traveling outside the predetermined distance range

Engineering Contradiction:
Improvemedia reception continuityVSAvoidgeographical coverage
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent introduces a secondary broadcast channel (such as the Internet) as an intermediary to relay media content from the original broadcast source to receivers. This mediator extends the geographical coverage beyond radio-frequency range limits while maintaining connection to the original broadcast source, solving the contradiction between reception reliability and geographical adaptability

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent transitions from a single-dimension radio-frequency transmission model to a multi-dimensional communication architecture that includes both traditional RF channels and alternative internet-based channels. This dimensional expansion allows receivers to access broadcast content through multiple pathways, preventing dropout when one channel becomes unavailable due to geographical constraints

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If broadcast sources transmit over alternative communications channels like the Internet, then broadcast range is extended and radio-frequency scanning is eliminated, but receivers have difficulty identifying new broadcast sources operating within particular fixed geographical locations

Engineering Contradiction:
Improvebroadcast rangeVSAvoidbroadcast source identification
Core Design Contradiction:
Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent replaces the mechanical radio-frequency scanning process with an automated electronic identification system. The receiver automatically obtains broadcast source information through the internet channel without manual scanning, substituting a passive mechanical search with an active electronic information retrieval system that provides source details including geographical location

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent implements feedback mechanisms where the system continuously monitors and identifies broadcast sources through the alternative channel, providing real-time information about available broadcast sources and their geographical locations. This feedback loop enables automatic adaptation to new broadcast sources without manual intervention

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12580975B2Methods and systems for geospatial identification of media streams
Publication Date: 2026.03.17 TUNEIN INC
  • US12580975B2 patent drawing
  • US12580975B2 patent drawing
  • US12580975B2 patent drawing

AI summary

Systems and methods are provided for identifying broadcast sources within a MapView system. A MapView system may display a first representation of a first geographical area that includes icons representing a location of broadcast sources. User characteristics may be extracted from a first user device associated with the MapView system. A machine-learning model may execute using the user characteristics to generate contemporaneous broadcast characteristics corresponding to a user of the first user device. The MapView system may then display a second representation of the geographical area that includes icons representing a location of different broadcast sources. The MapView system may then facilitate a presentation of particular broadcast source from the different broadcast sources.