Cloud Analytics Platform for 3D Surveillance from UAV Video
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Solution Overview
Problem
Current security surveillance systems lack the ability to authenticate and analyze inputs from unregistered mobile devices and fail to provide real-time 3D analytics, relying on expensive 3D cameras and fixed devices, while existing technologies do not offer cloud-based solutions for generating and analyzing 3D images and videos from 2D inputs for remote surveillance.
Innovation Solution
A cloud-based surveillance system that includes mobile input capture devices (ICDs) connected to a cloud-based analytics platform, capable of capturing, authenticating, and analyzing video, audio, and image inputs to generate 3D visual data for real-time surveillance, using a swarm of UAVs or land robots, and performing advanced analytics without requiring pre-registered devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D cameras are used for surveillance, then 3D visual data can be captured, but the system cost increases significantly
Solution Approach 1:
The patent creates virtual 3D copies of the surveillance environment by processing multiple 2D camera inputs through depth estimation algorithms. Instead of using expensive physical 3D cameras, the system generates synthetic 3D visual data that replicates the depth and spatial information, thereby achieving 3D surveillance functionality at the cost of affordable 2D cameras.
Solution Approach 2:
The patent replaces the mechanical/optical 3D camera system with a computational approach using 2D cameras and image processing algorithms. The physical 3D capture mechanism is substituted with digital depth estimation techniques that analyze 2D image sequences to infer three-dimensional spatial relationships, eliminating the need for costly specialized hardware.
2Reliability
If fixed surveillance devices are used, then stable monitoring is achieved, but the system lacks adaptability to mobile targets and environments
Solution Approach 1:
The patent creates a surveillance system that functions both as a fixed monitoring station and a mobile tracking system. The same cloud-based platform processes inputs from stationary cameras and mobile devices (including UAVs), providing unified 3D analytics that work across fixed and mobile configurations, thereby achieving both stability and adaptability through a single multi-functional system.
Solution Approach 2:
The patent introduces dynamic tracking capabilities to the fixed surveillance system by implementing real-time 3D object detection and tracking algorithms. The system adapts to moving targets by continuously updating depth maps and tracking object trajectories across video frames, enabling fixed devices to effectively monitor mobile subjects through computational dynamics.
3Adaptability or versatility
If multiple mobile devices are integrated for surveillance, then coverage and perspectives are improved, but authentication and data integration become more complex
Solution Approach 1:
The patent introduces a cloud-based intermediary platform that mediates between multiple mobile devices and the surveillance system. This intermediary handles authentication, data normalization, and integration, shielding users from complexity. The cloud platform acts as a mediator that standardizes inputs from diverse devices, managing the complexity of multi-device coordination while providing simplified access to users.
4Measurement precision
If real-time 3D analytics are implemented, then surveillance accuracy improves, but processing requirements and computational load increase
Solution Approach 1:
The patent segments the computationally intensive 3D analytics processing across multiple cloud-based servers and distributed computing resources. Instead of requiring one powerful device to handle all processing, the system divides the computational workload into manageable tasks distributed across a cloud infrastructure, reducing the power requirements of individual components while maintaining overall high-performance real-time 3D analytics.
Data Source
AI summary
Systems and methods for cloud-based surveillance for a target surveillance area are disclosed. At least two mobile input capture devices (ICDs) are communicatively connected to a cloud-based analytics platform via a data communication device. At least one user device can access to the cloud-based analytics platform. The cloud-based analytics platform automatically analyzes 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. In one embodiment, the at least two mobile ICDs are Unmanned Aerial Vehicles (UAVs).