Image-Based Object Location System for Indoor Mapping
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Solution Overview
Problem
Current methods for recording and accurately identifying the exact locations of items, stores, or environmental attributes within venues are time-consuming and prone to inaccuracies, requiring physical visits and manual measurements on maps.
Innovation Solution
An image-based object location system that uses image generators, position and orientation identifiers, floor plan generators, and databases to extract and store feature-related data from images, enabling efficient and accurate location identification and mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement and marking methods are used to record object locations, then location information can be obtained, but the process is time-consuming and prone to inaccuracies
Solution Approach 1:
The patent replaces manual mechanical measurement and marking processes with an automated image-based system. The system captures images of the venue, automatically processes them through computer vision algorithms to identify objects and their locations, and generates digital maps without requiring physical measurement tools or manual marking actions.
Solution Approach 2:
The patent creates digital copies of the physical venue through image capture and processing. Instead of manually recording locations on physical maps, the system generates digital representations of the venue space and object positions, allowing for accurate location data extraction without physical intervention.
2Loss of information
If physical visits and manual measurements are required to map venues, then location data can be collected, but the process becomes complex and labor-intensive
Solution Approach 1:
The patent replaces complex manual fieldwork procedures with automated image processing systems. The system handles data collection, processing, and analysis through computational algorithms, eliminating the need for manual measurements, map orientation, and physical navigation tasks.
Solution Approach 2:
The system performs self-service by automatically capturing venue images, processing them to identify objects and locations, and generating location data without requiring external manual intervention. The automated processing pipeline handles the entire workflow from image capture to location extraction independently.
Data Source
AI summary
A camera image, associated pose, and range data are applied as inputs to a floor plan generation process, which outputs a venue floor plan. The camera image, associated pose, and venue floor plan are input to a data extraction process, which outputs feature geo-location and metadata information to a data storage mechanism.