Correlating Visual and Radio Signals for Camera Field of View Filtering
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Solution Overview
Problem
Surveillance cameras often struggle to clearly identify individuals or objects due to poor image quality or occlusion, making it difficult to determine unique identifiers for wireless devices within their field of view.
Innovation Solution
The integration of video and radio identification correlation (VaRIC) technology, which combines digital video recording, mobile device technology, and machine learning to correlate visual data with wireless device data, using techniques like RFID, Wi-Fi, and GPS to filter out signals outside the camera's field of view and annotate objects with unique identifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If surveillance cameras are used to capture images for identification, then visual data can be obtained, but image quality is poor or occlusion occurs making clear identification difficult
Solution Approach 1:
The patent combines visual data from cameras with radio frequency data from transceivers to create a composite identification system. When visual data is insufficient due to poor quality or occlusion, the system supplements it with radio signal data containing device identifiers, thereby merging two different data sources to overcome the limitations of either alone.
Solution Approach 2:
The patent introduces radio frequency transceivers as intermediary devices that provide an alternative identification pathway. These transceivers capture radio signals from wireless devices and provide identifier information that can substitute or supplement visual identification when the camera data is insufficient.
2Quantity of substance
If radio signals are received from all directions, then more wireless device data can be obtained, but signals outside the camera's field of view cannot be correlated to visual objects
Solution Approach 1:
The patent applies local quality by associating radio signal reception with specific spatial locations corresponding to the camera's field of view. The system determines which radio signals originate from within the visual field and correlates them with corresponding visual objects, while filtering out signals from outside the field of view. This ensures that each location has the appropriate quality of data correlation.
Data Source
AI summary
Architectures and techniques are presented that can record video data and wireless communication device data. Signals from sources outside a field of view of a camera recording the video data can be filtered. Such can affect a shielding technique in which a signal shielding apparatus is adjusted in orientation based on an orientation of a camera device. Techniques are further presented to synchronize, according to time, video data and device data. Such synchronization can allow for improved correlation between visual objects (e.g., recorded by the camera) and radio objects (e.g., recorded by a transceiver). For example, visual techniques can be employed to estimate distance/locomotion of a visual object, whereas signal strength metrics can be used to estimate distance/locomotion of a radio object, and the relationship between the two can indicate a strong correlation that a particular device ID is linked to a particular visual object and vice versa.