Camera Field of View 3D Modeling for 2D Map Accuracy
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Solution Overview
Problem
Current camera deployment systems rely on inaccurate two-dimensional representations of camera fields of view, which fail to account for terrain features and camera characteristics, leading to inefficient deployments and potential dead zones, resulting in suboptimal security coverage and resource misuse.
Innovation Solution
A system that uses a three-dimensional model of the camera's field of view, combined with knowledge of the deployment area, to generate an accurate two-dimensional representation, including detection and depiction of dead zones, ensuring adequate coverage and meeting image quality standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard two-dimensional field of view depictions are used, then device complexity is reduced and ease of operation is improved, but measurement precision and reliability of field of view representation deteriorate
Solution Approach 1:
The patent applies dimensionality change by transitioning from two-dimensional field of view representations to three-dimensional models. The system generates accurate three-dimensional field of view models that incorporate terrain features, camera characteristics, and mounting heights, then projects these onto two-dimensional maps for display. This resolves the contradiction by maintaining high measurement precision through 3D modeling while preserving ease of operation through 2D map visualization.
Solution Approach 2:
The patent uses an intermediary approach by introducing a computing system that acts as a mediator between the complex three-dimensional reality and the simple two-dimensional display. The computing system performs ray-tracing calculations, incorporates terrain data, and generates accurate field of view representations automatically, shielding users from the underlying complexity while delivering precise measurements.
2Reliability
If accurate three-dimensional field of view modeling is implemented, then measurement precision and reliability are improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing three-dimensional terrain models and camera characteristics before deployment planning. The system incorporates terrain features, mounting heights, and camera specifications into the field of view calculations in advance, allowing for reliable and accurate representations without requiring complex real-time computations during deployment planning.
Solution Approach 2:
The patent uses copying by creating simplified two-dimensional representations from the three-dimensional field of view models. The system generates accurate 3D models incorporating all terrain and camera characteristics, then projects these onto 2D maps for display and deployment planning, allowing users to work with simple copies while the system maintains the full 3D accuracy for calculations.
3Measurement precision
If terrain features and camera characteristics are incorporated into field of view calculations, then measurement precision is improved, but computational time and processing requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-loading and storing terrain feature data, camera characteristics, and mounting height information into the system before deployment planning begins. By having this data readily available and pre-processed, the system can perform accurate ray-tracing calculations that incorporate all these factors without requiring time-consuming data collection or processing during the actual deployment planning phase.
Data Source
AI summary
Systems and methods for accurate representation of camera field of view in two-dimensional mapping applications. One example system includes a transceiver, a display for displaying a graphical user interface, and an electronic processor. The electronic processor is configured to provide, on the graphical user interface, a two-dimensional map representing the real-world area and determine a plurality of characteristics for the camera. The electronic processor is configured to generate a three-dimensional model for the field of view based on the plurality of characteristics. The electronic processor is configured to determine an intersection plane for the three-dimensional model and generate, based on the intersection plane, a two-dimensional slice of the three-dimensional model, the two-dimensional slice being representative of the field of view within the area. The electronic processor is configured to generate a first graphical representation of the two-dimensional slice and present the first graphical representation on the two-dimensional map.