Property Classification Using Location-Aware Image Recognition
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Solution Overview
Problem
Current image recognition systems for identifying objects in electronic images struggle to accurately classify and provide information about properties and objects based on geographical location, leading to inefficiencies in applications such as insurance valuation and inventory management.
Innovation Solution
A system comprising a mobile device and a property content classification server that uses GPS information, image recognition, and property model data to classify properties and objects, determining similar properties and objects in the same geographical area, and recommending object classifications and valuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image recognition systems use location information to identify structures, then identification accuracy for unique structures improves, but system complexity increases
Solution Approach 1:
The patent introduces an image database as an intermediary component that stores pre-captured images of structures at various locations. The system compares newly captured images against this database to identify structures, rather than relying solely on complex location-based identification algorithms. This intermediary database simplifies the overall system complexity while maintaining or improving identification accuracy.
2Productivity
If property classification is performed without localized information, then processing speed improves, but classification accuracy deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-capturing and storing images of structures at various locations in advance, organizing them in an image database with associated location information. When a property needs classification, the system can quickly compare against this pre-prepared database rather than gathering location data and analyzing structures in real-time, thus maintaining high processing speed while achieving accurate localized classification.
3Measurement precision
If comprehensive property information is collected, then valuation accuracy improves, but data collection time increases
Solution Approach 1:
The patent merges multiple data collection functions into a single image capture operation. By taking a photograph of a property, the system simultaneously captures visual information about the structure, its contents, and contextual location data in one action. This consolidated approach reduces the time required for data collection while still gathering comprehensive information needed for accurate valuation through subsequent image analysis and comparison with the database.
Data Source
AI summary
Systems, apparatus, methods, and articles of manufacture provide for image analysis using localized information. In one embodiment, an object (e.g., content of a building or other type of property) may be classified by determining the type of object and determining classification information associated with previously classified objects of the same type and associated with the same geographical area.