Brand Sonification via Mobile Sound Detection and Reward Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies lack an effective method to identify and analyze the characteristic sounds emitted by consumer products when activated or used, which limits brand sonification and marketing data collection.
Innovation Solution
A system comprising a mobile device with a microphone, processing unit, and software application that detects and analyzes sounds associated with product use events, providing user rewards and capturing data for analysis, which can be enhanced by modifying product packaging to increase sound distinctiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sound detection systems are implemented to identify brand sonification, then marketing data collection and brand engagement are improved, but device complexity and processing requirements increase
Solution Approach 1:
The system segments the sound identification process into distinct modules: audio capture by microphone, pre-processing and feature extraction, sound model comparison, and reward delivery. This modular approach allows each component to be optimized independently while maintaining overall system functionality for brand sonification detection
Solution Approach 2:
The patent introduces an intermediary processing layer that bridges raw audio capture and brand identification. The system uses intermediate sound models and audio feature representations to mediate between the physical sound environment and the digital reward system, enabling complex marketing analytics without proportionally increasing device complexity
2Measurement precision
If product packaging is modified to increase sound distinctiveness, then sound identification accuracy is improved, but manufacturing complexity increases
Solution Approach 1:
The patent applies local quality modifications to packaging components, such as adding specific textural features, ridges, or structural elements to particular areas of the packaging (e.g., tab regions, seal areas). These localized modifications create distinctive sound signatures during opening without requiring complete redesign of the entire packaging structure
Solution Approach 2:
The system modifies physical parameters of packaging components (material thickness, rigidity, geometric features) to alter acoustic characteristics. By changing parameters like tab thickness or seal material properties, the packaging generates more distinct and identifiable sounds during activation and opening events
3Loss of information
If comprehensive sound analysis is performed to capture product usage data, then consumer behavior analysis is improved, but processing time and energy consumption increase
Solution Approach 1:
The system performs partial sound analysis by focusing only on critical acoustic features relevant to brand sonification identification rather than analyzing the entire audio spectrum. This selective approach captures sufficient consumer behavior data (product opening, activation events) while minimizing processing energy requirements by avoiding exhaustive analysis of all audio characteristics
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
Enables precise identification of product usage patterns and brand engagement through sound analysis, providing valuable marketing data and interactive user experiences.
Implementation Method 1
The sound is received by a microphone located within the mobile device
Data Source
AI summary
A mobile device comprising a software application configured to detect the sound of a product use event; provide a user reward using said software application in response to said detection; capture data relating to said product use event; and provide said captured data to a remote computer system for analysis.