Micro Point Address Detection via Audio Trigger
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional map coding procedures are resource-intensive, costly, and not optimized for high-resolution maps, struggling to accurately represent micro point locations such as apartments or suites within buildings due to the need for manual input and specialized systems.
Innovation Solution
A method and apparatus for micro point address detection using audio triggers, where audio data is compared to predetermined samples to associate location data with grid location identifiers, enabling precise geocoding and reverse geocoding through the use of audio sensors, position circuitry, and a controller, which store and retrieve coordinates for micro point addresses in map databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual map coding procedures are used to pinpoint locations, then address accuracy can be achieved, but resource consumption and cost increase dramatically
Solution Approach 1:
The system enables automatic collection of micro point addresses through audio triggers and location data from mobile devices, eliminating the need for manual map coding. Users automatically contribute location data when audio patterns are detected, allowing the system to self-populate the database without human operators
Solution Approach 2:
Manual mechanical processes of map coding are replaced with automated audio detection and location tracking systems. The controller automatically processes audio data, compares it to predetermined samples, and associates location data with grid location identifiers without human intervention
2Quantity of substance
If conventional map coding procedures are used, then basic address coverage can be achieved, but precision for micro point locations such as apartments or suites deteriorates
Solution Approach 1:
The system divides the address space into grid locations and further segments them into micro point identifiers. Each grid location can contain multiple micro points (apartments, suites, rooms), allowing hierarchical organization that maintains both broad coverage and fine-grained precision
Solution Approach 2:
The system adds a new dimension of precision by introducing micro point identifiers beyond traditional address structures. This enables differentiation of multiple locations within the same geographic coordinates through audio-triggered identification
3Loss of information
If manual input methods are used for map building, then address data can be collected, but turnaround time and cost efficiency worsen
Solution Approach 1:
The system continuously collects address data in the background through audio triggers and location tracking. Mobile devices automatically report location information when audio patterns are detected, creating a continuous stream of data without interrupting normal operations or requiring scheduled manual updates
Data Source
AI summary
A micro point address is detected in response to an audio trigger. Audio data is detected at a mobile device and compared to at least one predetermined audio sample. In response to the comparison, location data is collected or a location stamp including the location data is made. A grid location identifier is stored in association with the location data in response to the comparison.