Location Determination System for Image Geotagging
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Solution Overview
Problem
Existing location determination methods, especially in indoor or urban environments, face challenges with GPS signal availability and precision, leading to delays and imprecision in associating location data with captured images.
Innovation Solution
A method and system that capture an image, determine a first location simultaneously, and optionally a second location using GPS or less precise methods, with threshold checks to ensure accuracy by storing only relevant location information associated with the image, allowing users to select precision levels and storage options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS signals are used to determine location with high precision, then measurement precision is improved, but time to acquire signals and calculate position increases
Solution Approach 1:
The system performs preliminary location determination using less precise but faster methods (network-based location) before attempting GPS acquisition. This preliminary location data is stored and can be used immediately if GPS acquisition takes too long, thus resolving the contradiction by having a backup location already prepared in advance.
Solution Approach 2:
The system dynamically switches between different location determination methods based on available time and signal conditions. It starts with network-based location for immediate results, then attempts GPS for higher precision if time permits, creating a dynamic adaptation to the time-precision tradeoff.
2Measurement precision
If multiple location determination methods are implemented, then measurement precision and reliability are improved, but device complexity increases
Solution Approach 1:
The location determination system is segmented into distinct modules: network-based location determination, GPS-based location determination, and a selection mechanism. Each module operates independently, allowing the system to use multiple methods without creating a monolithic complex system, thus managing complexity while maintaining precision options.
Solution Approach 2:
The system implements partial action by not always using all available location methods. Instead, it selectively applies network-based or GPS-based methods depending on time constraints and precision requirements, avoiding the complexity of continuously running all methods while still having access to multiple approaches when needed.
3Measurement precision
If location is determined continuously to ensure accuracy, then measurement precision is improved, but power consumption increases
Solution Approach 1:
Instead of continuous location determination, the system uses periodic action by attempting GPS acquisition at specific intervals or under specific conditions (such as when the device is stationary or when network location uncertainty exceeds a threshold). This reduces power consumption while maintaining adequate location accuracy through targeted periodic updates.
Solution Approach 2:
The system uses self-service by relying on network-based location determination as the primary method, which consumes less power, and only activates the more power-intensive GPS method when specifically needed (such as when higher precision is required or network location is unavailable). This self-managing approach optimizes power usage based on actual needs.
Data Source
AI summary
There is disclosed herein a method for associating a location with an image captured by an image capture device, wherein the method comprises capturing an image, determining a first location of the device in response to capturing the image, storing the first location in association with the image, determining a second location of the communication device subsequent to storing the first location in association with the image, and storing the second location in association with the image.