Beacon Tracking via Obstruction Analysis
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Solution Overview
Problem
Naïve mapping of monitored spaces using floorplans and fixed wireless devices is imprecise due to variations between actual space layouts and the presence of objects with radiation impact, which affects the accuracy of location tracking and user authentication in sensitive areas.
Innovation Solution
A system and method for generating and augmenting a 3D model of a monitored space using location data from a mobile device, analyzing images to identify objects with radiation impact, and predicting their effect on signal characteristics, thereby improving the accuracy of beacon mapping and user path verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If naïve mapping based on floorplans and fixed wireless devices is used, then the implementation is simple and quick, but the location tracking precision deteriorates due to variations between actual space layouts and floorplans and presence of objects with radiation impact
Solution Approach 1:
The system performs preliminary mapping of the monitored space by capturing images and identifying objects with radiation impact before conducting location tracking. This preliminary action creates an augmented model that accounts for radiation-affecting objects, thereby improving subsequent tracking precision without adding complexity during the actual tracking operation
Solution Approach 2:
The system creates a digital copy or model of the physical space that includes information about objects with radiation impact. This copied model is used to predict signal characteristics and improve location tracking accuracy, allowing the system to account for radiation effects without physically modifying the tracking infrastructure
2Reliability
If floorplans are used for mapping, then the initial setup is straightforward, but the reliability deteriorates due to variations between floorplans and actual space build
Solution Approach 1:
The system replaces manual floorplan creation and verification with automated image-based mapping. Mobile devices capture images of the space, and the system automatically identifies objects and generates an augmented model, eliminating the time-consuming process of manually updating floorplans to match actual space variations
Solution Approach 2:
The mapping system transitions from static floorplans to dynamic, image-based models that can be updated as the space changes. The system continuously captures images and updates the augmented model to reflect current space conditions, ensuring reliability without requiring complete remapping
3Measurement precision
If objects with radiation impact are not considered, then the beacon signal model is simpler, but the accuracy of signal characteristic prediction deteriorates
Solution Approach 1:
The system introduces an intermediary model that predicts signal characteristics based on identified objects with radiation impact. This intermediary layer translates object information into expected signal characteristics, allowing the system to account for radiation effects without directly complicating the beacon signal generation process
Solution Approach 2:
The system performs preliminary identification and characterization of objects with radiation impact before building the signal model. By pre-processing object data and predicting their effect on signals, the system creates a refined model that improves prediction accuracy without adding complexity during signal transmission and reception
Data Source
AI summary
Provided herein are methods and systems for generating a model, mapping a monitored space, and used for augmenting the location and paths of devices path in the monitored space, using orientation and obstruction analysis. The disclosure comprises moving a device having a camera and one or more wireless transceiver through the monitored space, exchanging signal transmissions with one or more wireless transceivers present in the monitored space, and taking images, video sequences, or other optical readings. Either the mobile wireless device, the wireless transceivers, or both may have a non-isotropic transmission and reception characteristics, due to antenna structure, occlusions, other objects with radiation impact and/or the like. The images, videos, and/or optical readings, in addition to the received signal characteristics are stored and processed to generate the model, which one or more verification units, configured to verify the location objects or devices in the monitored space, may use.