2D Sensor Data to 3D Virtual Environment for Security Monitoring
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Solution Overview
Problem
Monitoring multiple video streams from security cameras in large facilities requires significant manpower, leading to potential oversight of security events and inefficiencies in investigating past incidents.
Innovation Solution
A system that translates 2D data from multiple sensors into a real-time 3D visual environment, allowing a single security team member to track and monitor physical objects like people and vehicles in a virtual 3D model of the facility, reducing the need for simultaneous monitoring of multiple video feeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple security cameras capture video streams of different locations, then coverage of the facility is improved, but the amount of manpower required to monitor all streams increases
Solution Approach 1:
The patent combines multiple 2D video streams from different cameras into a single unified 3D virtual environment. Multiple camera feeds are merged and processed to create one comprehensive 3D model that displays all locations simultaneously, allowing a single operator to monitor the entire facility without needing to switch between multiple video streams.
Solution Approach 2:
The patent transforms 2D video stream data into a 3D virtual environment representation. By adding the third dimension and spatial context, the system creates a immersive virtual model that consolidates multiple camera views into a single comprehensive display, improving situational awareness while reducing monitoring complexity.
2Reliability
If multiple video streams are monitored simultaneously, then comprehensive security coverage is achieved, but the likelihood of overlooked security events increases
Solution Approach 1:
The patent merges multiple video streams into a unified 3D virtual environment that presents all security camera feeds in a single consolidated view. This integration ensures that security personnel can observe all locations simultaneously without missing events, as the 3D model maintains spatial relationships and allows easy navigation between different areas.
Solution Approach 2:
The system provides real-time feedback by tracking objects across multiple cameras and maintaining their positions in the 3D virtual environment. This continuous updating and visualization of object movements across different camera views ensures that security events are not overlooked, as the system actively monitors and displays changes across all streams.
3Measurement precision
If 2D data from multiple sensors is analyzed, then object detection accuracy is improved, but the complexity of the monitoring system increases
Solution Approach 1:
The patent adds a third dimension to the monitoring system by creating a 3D virtual environment from 2D sensor data. This dimensional transformation integrates data from multiple cameras and sensors while providing enhanced spatial context and object tracking capabilities, improving detection accuracy without proportionally increasing system complexity.
Solution Approach 2:
The system creates virtual copies of the physical environment and objects within it. By generating a 3D virtual model that replicates the facility layout and tracking virtual representations of detected objects, the system consolidates complex sensor data processing into a simplified visual interface, improving accuracy while reducing operational complexity.
Data Source
AI summary
According to some embodiments, a method includes accessing 2D data generated by a plurality of sensors. The plurality of sensors are located within a physical environment. The method further includes identifying, by analyzing the 2D data, a physical object that is physically located within the physical environment. The method further includes displaying, in a graphical user interface, a virtual 3D environment that corresponds to the physical environment. The method further includes displaying a virtual object in the virtual 3D environment. The virtual object is a visual representation of the physical object identified in the 2D data and a location of the virtual object in the virtual 3D environment corresponds to a physical location of the physical object in the physical environment. The method further includes displaying movements of the virtual object in the virtual 3D environment that correspond to movements of the physical object within the physical environment.