Cloud Surveillance Analytics for Authenticating Unregistered Mobile Inputs
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Solution Overview
Problem
Current security surveillance systems lack the ability to authenticate and analyze inputs from unregistered mobile devices in real- or near real-time, particularly in social surveillance scenarios, and are limited to fixed devices rather than distributed, unknown devices.
Innovation Solution
A cloud-based system that allows for the uploading, authentication, and analysis of video, audio, and image inputs from remote, distributed devices, including mobile phones and wearable technology, using GPS information, digital fingerprinting, and watermarking to provide real-time surveillance data, without requiring pre-registration of devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed devices with pre-registration are used for surveillance, then device reliability and data authenticity are improved, but device complexity and system adaptability deteriorate
Solution Approach 1:
The system applies universal authentication mechanisms that work across both registered and unregistered devices. The server can authenticate inputs from pre-registered devices using stored credentials while simultaneously handling unregistered devices through on-demand authentication processes, making the system adaptable to multiple device types without sacrificing data authenticity
Solution Approach 2:
The server acts as an intermediary that mediates between diverse input devices and the surveillance system. It implements authentication protocols that can handle both pre-registered devices with known credentials and unregistered devices through verification processes, thereby maintaining reliability while accommodating device diversity
2Reliability
If fixed devices with pre-registration are used for surveillance, then data authentication is improved, but device complexity increases
Solution Approach 1:
The system implements self-service authentication where unregistered devices can authenticate themselves through on-demand verification processes. The server provides authentication services automatically without requiring manual pre-registration, reducing system complexity while maintaining input authentication capabilities
Solution Approach 2:
The system performs preliminary authentication checks for unregistered devices before processing their surveillance inputs. By establishing authentication protocols in advance that can handle both registered and unregistered devices, the system maintains security without adding complex pre-registration requirements
3Productivity
If cloud-based analysis of distributed devices is implemented, then surveillance coverage and productivity are improved, but system complexity and authentication challenges increase
Solution Approach 1:
The cloud-based system implements universal processing capabilities that can analyze inputs from both registered and unregistered distributed devices. The server performs authentication and analytics functions uniformly across diverse device sources, expanding surveillance coverage without proportionally increasing system complexity
Solution Approach 2:
The server acts as a central intermediary that simplifies the complexity of handling distributed devices. It consolidates authentication and analytics functions, managing diverse input sources through standardized protocols while maintaining expanded surveillance coverage
4Adaptability or versatility
If unregistered mobile devices are allowed to upload inputs, then system adaptability and surveillance coverage are improved, but authentication reliability deteriorates
Solution Approach 1:
The server acts as a trusted intermediary that enables unregistered mobile devices to upload inputs while maintaining authentication reliability. It implements verification protocols that can authenticate unregistered devices through on-demand checks, thereby supporting device compatibility without sacrificing authentication trustworthiness
Solution Approach 2:
The system implements feedback mechanisms where the server provides authentication responses to unregistered devices based on their uploaded inputs. By analyzing device-provided information and providing verification feedback, the system maintains authentication reliability while allowing broad device compatibility
Data Source
AI summary
Systems and methods for virtualized computing or cloud-computing network with distributed input devices and at least one remote server computer for automatically analyzing received video, audio and/or image inputs for providing social security and/or surveillance for a surveillance environment, surveillance event, and/or surveillance target.