Digital Video Triangulation for Object Velocity and Acceleration Tracking
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Solution Overview
Problem
Radar and laser radar technologies face limitations in determining the velocity, acceleration, and direction of objects that do not reflect electromagnetic waves, making it difficult to track certain objects, especially those that are invisible to these systems.
Innovation Solution
A computer-implemented method and apparatus using digital video data from multiple cameras to analyze positional metadata through triangulation analytics, allowing for the determination of an object's velocity, acceleration, and direction within an area of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar or laser radar is used to measure object velocity and direction, then measurement capability is improved, but objects that do not reflect electromagnetic waves cannot be detected
Solution Approach 1:
The patent introduces digital video cameras as an intermediary detection medium instead of relying on electromagnetic wave reflection. The cameras capture visual images of objects, and through triangulation analytics on these images, velocity and direction are calculated. This intermediary approach allows detection of objects that do not reflect electromagnetic waves effectively.
Solution Approach 2:
The patent replaces the electromagnetic wave-based radar system with a visual imaging system using digital cameras. By substituting the detection mechanism from electromagnetic radiation to optical imaging, the system can detect objects regardless of their electromagnetic reflection properties, while still achieving velocity and direction measurement through computational analysis of sequential images.
2Measurement precision
If multiple cameras are used for triangulation analytics, then object tracking accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes existing digital video cameras perform multiple functions: they capture images for surveillance purposes and simultaneously serve as measurement instruments for velocity and direction determination through triangulation analytics. This multi-functionality reduces the need for specialized equipment while improving measurement precision.
Solution Approach 2:
The patent uses multiple copies of the same camera type positioned at different locations to achieve triangulation. By deploying identical camera units rather than complex specialized sensors, the system improves location accuracy while keeping individual device complexity low and maintenance straightforward.
Data Source
AI summary
A computer implemented method, apparatus, and computer program product for identifying positional data for an object moving in an area of interest. Positional data for each camera in a set of cameras associated with the object is retrieved. The positional data identifies a location of each camera in the set of cameras within the area of interest. The object is within an image capture range of each camera in the set of cameras. Metadata describing video data captured by the set of cameras is analyzed using triangulation analytics and the positional data for the set of cameras to identify a location of the object. The metadata is generated in real time as the video data is captured by the set of cameras. The positional data for the object is identified based on locations of the object over a given time interval. The positional data describes motion of the object.