Photo-Optic Geolocation via Celestial and Landscape Image Analysis
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Solution Overview
Problem
Existing geolocation systems rely on signal transmission, which can be unreliable or detectable, especially in remote areas or military applications where signal avoidance is necessary.
Innovation Solution
A photo-optic apparatus that captures and processes surrounding image data using an optic sensor, digital sextant, and data processor to calculate geolocation without signal transmission, utilizing stored data and celestial references for accurate location determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS or satellite-based geolocation systems are used, then geolocation accuracy is improved, but signal transmission vulnerability increases
Solution Approach 1:
The patent extracts the geolocation calculation function from satellite-dependent systems and implements it locally using only a camera, compass, and processor. The system takes out the need for signal transmission entirely by performing all geolocation calculations locally through image analysis and celestial body detection, eliminating vulnerability to signal jamming or interception while maintaining accuracy.
Solution Approach 2:
The patent replaces the electronic signal transmission system (GPS/satellite communication) with an optical-mechanical system using a camera to capture images of celestial bodies and landscapes. The mechanical/optical system processes these images locally to calculate position, substituting the vulnerable electromagnetic signal transmission with a passive optical observation method that cannot be easily jammed or intercepted.
2Object-affected harmful factors
If standalone geolocation without signal transmission is implemented, then detection avoidance is improved, but system complexity increases
Solution Approach 1:
The patent makes the camera serve multiple functions: capturing celestial bodies for position calculation, capturing landscapes for feature matching, and providing visual feedback to users. The processor also performs multiple roles including image analysis, celestial body identification, and geolocation calculation. This multi-functionality reduces the need for separate dedicated components, thereby managing system complexity while achieving standalone operation.
Solution Approach 2:
The system is completely self-sufficient, using only passive optical inputs from the environment (celestial bodies, landscapes) without requiring external signal transmission or power beyond what the portable device provides. All processing occurs locally within the device, making it independently operational without external infrastructure, thus avoiding detection while managing complexity through integrated self-contained design.
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 standalone geolocation calculation without network signals, avoiding detection and providing real-time, cost-effective geolocation determination in various industries and personal use cases.
Implementation Method 1
an optic sensor that captures surrounding image data
Implementation Method 2
an internal compass
Data Source
AI summary
A photo-optic comparative geolocation system for calculating the location of an object has been developed. The apparatus includes optic sensors that capture surrounding location data, an interface that maps the optic sensor data, a storage database containing prior optical and location data, a digital sextant that provides data calculated using magnetic or celestial references, a data processor that compares the mapped data to stored data and calculates current location based on the comparison analysis, and a visual display for location information.