Cloud Analytics Platform for 3D Surveillance from 2D Video
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Solution Overview
Problem
Current video surveillance systems rely on 2D images and videos, limiting their ability to provide advanced analytics and requiring costly upgrades to 3D cameras for improved security and surveillance capabilities.
Innovation Solution
A cloud-based surveillance system that captures and generates 3D surveillance data from 2D input data using a network of input capture devices and a cloud-based analytics platform, enabling 3D playback and analytics for enhanced security and surveillance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D cameras are used to generate 3D surveillance data, then measurement precision and analytics accuracy are improved, but device cost and complexity increase significantly
Solution Approach 1:
The patent creates a virtual 3D copy of the physical surveillance environment by processing 2D images from multiple cameras through computer vision algorithms. This virtual 3D model replicates spatial relationships, object positions, and scene geometry without requiring physical 3D cameras, thereby achieving 3D analytics accuracy while using standard 2D camera hardware
Solution Approach 2:
The system transforms 2D image data from multiple cameras into a synthesized 3D representation by adding depth and spatial dimension information through computational processing. This dimensionality transformation allows the system to achieve 3D surveillance capabilities from 2D inputs, resolving the contradiction between measurement precision and device complexity
2Device complexity
If multiple 2D cameras are deployed to capture surveillance data, then device cost is reduced, but the ability to perform advanced 3D analytics deteriorates
Solution Approach 1:
The patent merges data from multiple 2D camera sources with computer vision algorithms and processing systems to create a unified 3D analytical model. By combining multiple 2D inputs through computational fusion, the system achieves 3D analytics capability that would otherwise require expensive specialized hardware, thus maintaining low device complexity while improving measurement precision
3Reliability
If local recording and processing is implemented, then system reliability is improved, but ease of operation and remote access capability deteriorate
Solution Approach 1:
The system implements a hybrid architecture where the surveillance platform performs both local recording/processing functions and cloud-based remote access functions. The multi-functional design allows the same system to operate autonomously locally for reliability while simultaneously providing remote accessibility through network connectivity, resolving the contradiction between these two requirements
Data Source
AI summary
Systems and methods for cloud-computing network with distributed input devices and a cloud-based analytics platform for automatically analyzing received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area.