Cloud-Based Video Surveillance System with Local Network Discovery
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Solution Overview
Problem
Current video surveillance systems require significant upfront investment and are limited in remote access capabilities, especially when the primary device is powered off, and lack a universal application to connect multiple smart devices with visual sensors to a cloud platform for centralized analytics and management.
Innovation Solution
A cloud-based video surveillance system that enables users to set up a network of smart devices with visual sensors, allowing connection to a cloud platform for data storage and analytics, accessible via a single app on various devices, even when the primary device is powered off, using local computing devices to query and identify input capture devices and communicate data to the cloud platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a local recorder and server are installed at the surveillance location, then video storage and management capabilities are improved, but the upfront investment cost and device complexity increase significantly
Solution Approach 1:
The patent extracts the storage, management, and analytics functions from the local surveillance system and relocates them to a remote cloud server. Only the camera and basic transmission components remain at the surveillance location, while the recorder and server are moved to the cloud, reducing local device complexity while maintaining storage capabilities
Solution Approach 2:
The patent introduces a cloud server as an intermediary between the camera and the user. The cloud server acts as a mediator that receives video data from the camera, performs storage and management, and provides access to users remotely, eliminating the need for local recording equipment
2Device complexity
If video surveillance services are moved to the cloud with minimum hardware, then device complexity and upfront investment are reduced, but long-term subscription costs increase
Solution Approach 1:
The patent implements a dynamic architecture where the surveillance system can operate in multiple modes: fully cloud-based with subscription services, or with optional local recording capabilities that can be activated or deactivated based on user needs and cost considerations, allowing flexibility in long-term cost management
Solution Approach 2:
The patent segments the surveillance system into modular components that can be independently configured: camera hardware, cloud storage service, local recording option, and analytics service. Users can select and combine only the components they need, avoiding payment for unnecessary long-term subscription services
3Stability of the object's composition
If a dedicated surveillance server is required for the system to work, then system stability is improved, but the system becomes inaccessible when the server is powered off
Solution Approach 1:
The patent makes the cloud server universally accessible through multiple communication channels and protocols. The server can be accessed via web browsers, mobile applications, and various network protocols, allowing users to access the surveillance system from any device with internet connection, regardless of the server's physical state or location
Solution Approach 2:
The patent implements data replication and caching mechanisms where video data is stored in multiple locations and formats. When the primary server is unavailable, backup copies of the data can be retrieved from secondary servers or local cache storage, ensuring continuous accessibility
4Reliability
If separate applications are required for each video device, then device-specific functionality is optimized, but system complexity and user effort increase
Solution Approach 1:
The patent develops a universal cloud platform and unified application interface that can manage multiple different camera devices and surveillance systems through a single application. The platform adapts to various device types while providing consistent user interaction, eliminating the need for separate applications for each device
Data Source
AI summary
Systems and methods for setting up a cloud-based video surveillance system with at least one computing device and at least one video camera in a local area network. The at least one computing device has an application program installed and is operable to find out the at least one video camera on the same local area network and connect the at least one video camera to a cloud platform. The video surveillance system is accessible via the at least one computing device locally or other computing device remotely. The video surveillance system is still at work when the at least one computing device is powered off.