Vehicle Location Coordinates via Video Metadata Correlation
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Solution Overview
Problem
Current vehicle-mounted cameras lack the capability to accurately determine location coordinates of events, as they primarily capture video from a single angle and lack access to license plate database information, limiting their usefulness in incident recreation and safety applications.
Innovation Solution
A system comprising a location device and processor that performs video analysis to detect objects, extract metadata, and calculate absolute locations by correlating detected objects with their distance from the camera, enabling the determination of location coordinates and enhancing event recreation capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video footage is captured by vehicle-mounted cameras, then safety and incident recording capabilities are improved, but the ability to accurately determine location coordinates of events deteriorates
Solution Approach 1:
The patent introduces an intermediary system that includes a server, database, and communication interface. The server receives video footage from multiple vehicles, correlates it with license plate data from databases, and processes this information to determine accurate location coordinates of events. This intermediary processing system bridges the gap between simple video capture and precise location determination.
Solution Approach 2:
The system performs multiple functions: capturing video footage, extracting license plate information, querying databases, correlating data from multiple sources, and determining location coordinates. By making the system multi-functional, it overcomes the limitation of single-camera perspective and achieves accurate event location determination through integrated processing of diverse data types.
2Device complexity
If a single camera angle is used to record events, then device complexity is reduced, but the comprehensiveness of event information deteriorates
Solution Approach 1:
The patent merges video footage from multiple vehicles into a single comprehensive event record. By combining perspectives from different cameras that captured the same event, the system reconstructs a complete picture of the incident from multiple angles, eliminating the information loss inherent in single-camera recording.
Solution Approach 2:
The system adds the dimension of multiple perspectives by collecting video data from various vehicles involved in or near an event. Instead of relying on a single spatial viewpoint, the system integrates footage from multiple positions, creating a multi-dimensional representation of the event that preserves comprehensive information.
3Reliability
If license plate database access is restricted to police and repossession agents, then data security is improved, but the accessibility of location information deteriorates
Solution Approach 1:
The patent introduces an intermediary layer between the restricted license plate databases and end users. The server acts as a controlled interface that queries databases using authorized methods while presenting processed results to users. This intermediary system maintains database security protocols while enabling broader access to location information through the video correlation framework.
Data Source
AI summary
An apparatus including a location device and a processor. The location device may be configured to determine location coordinates of the apparatus. The processor may be configured to receive video frames captured by a capture device, perform video analysis on the video frames to detect objects in the video frames and extract metadata corresponding to the objects detected in the video frames, correlate the metadata with the location coordinates, determine a distance from the apparatus to the objects in the video frames and calculate an absolute location of the objects in response to the distance and the location coordinates. The distance may be determined by comparing a size of the objects detected in the video frames with a known size of the objects. The absolute location for the objects in the video frames may be added to the metadata.


