Audio Capture Device for Personalized Ad Triggering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for providing personalized TV advertising fail to deliver targeted ads to individual viewers within the same geographic region without increasing hardware or software costs, as they lack efficient user profiling, advertisement segment identification, and timely triggering of personalized content.
Innovation Solution
A method and device that capture audio from a TV, compare it with reference data to identify advertisement segments, and trigger personalized ads on a secondary device like a tablet using voice recognition and user profiles, without requiring changes to the existing TV broadcast system, and utilizing a third-party advertisement server to manage power consumption by scheduling voice detection and recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If voice detection and recognition are continuously enabled on the second device to capture audio from the first device, then the ability to identify advertisement segments and trigger personalized ads is improved, but power consumption increases
Solution Approach 1:
The advertisement detection function on the second device operates periodically rather than continuously. The system activates voice detection and recognition only during scheduled advertisement time periods, comparing captured audio with reference audio data from a database. This periodic operation maintains the ability to identify advertisement segments while significantly reducing overall power consumption compared to continuous monitoring.
2Measurement precision
If user profiles and behavior tracking are implemented to provide personalized ads, then advertising targeting accuracy is improved, but system complexity and cost increase
Solution Approach 1:
Instead of implementing complex real-time user profiling and behavior tracking systems, the patent uses pre-existing user profiles and reference audio data that are copied and stored in databases. The second device compares captured audio against these pre-stored reference data to identify advertisement segments and trigger appropriate personalized ads, avoiding the need for complex real-time analysis systems.
3Measurement precision
If audio capture and comparison with reference data is performed continuously, then advertisement segment identification accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
Reference audio data from various advertisement segments is pre-captured, processed, and stored in a database before the actual advertisement detection occurs. When the second device needs to identify advertisement segments, it simply compares the currently captured audio against these pre-prepared reference data, significantly reducing processing time and computational resources compared to real-time analysis.
Data Source
AI summary
It is provided a method for triggering an action on a second device. It comprises the steps of obtaining audio of a multimedia content presented on a first device; comparing the obtained audio with reference audio data in a database; if finding the obtained audio exists in the database containing reference audio, determining an action corresponding to the matched reference audio; and triggering the action in the second device.