Cloud Video Surveillance System with Local Buffering
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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 server is powered off, and lack universal connectivity with various smart devices within a local area network.
Innovation Solution
A cloud-based video surveillance system that connects input capture devices with visual sensors to a cloud platform for storage, analytics, and management, allowing remote access and operation even when the user device is powered off, using a universal application to manage and view data from multiple smart devices via one interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a dedicated video surveillance system with local recorder and server is set up, then surveillance reliability is improved, but device complexity and upfront investment increase
Solution Approach 1:
The patent extracts the recording and server functions from the camera device itself, placing them in the cloud. The camera becomes a simple input capture device while the complex processing, storage, and management functions are moved to remote cloud infrastructure, reducing local device complexity while maintaining surveillance reliability
Solution Approach 2:
The patent introduces a cloud platform as an intermediary between the input capture devices and user devices. This cloud mediator handles all complex operations including video streaming, storage, analytics, and device management, allowing simple cameras to provide reliable surveillance without requiring complex local infrastructure
2Device complexity
If cloud-based video surveillance with minimum hardware is used, then device complexity is reduced, but remote access capability deteriorates when the server is powered off
Solution Approach 1:
The patent implements preliminary action by enabling input capture devices to autonomously perform local recording and data buffering before cloud connectivity is needed. The devices pre-process and store video data locally, ensuring that surveillance functionality and data availability are maintained even when cloud services are unavailable or the user device is powered off
Solution Approach 2:
The patent enables self-service by allowing input capture devices to independently manage their own operation, including local recording, buffering, and basic processing. The devices can function autonomously without requiring the cloud server or user device to be active, and automatically synchronize with the cloud when connectivity is restored
3Reliability
If dedicated video surveillance services are subscribed to, then surveillance functionality is improved, but long-term cost increases
Solution Approach 1:
The patent implements universality by designing a cloud platform that serves multiple purposes: video streaming, storage, analytics, device management, and cross-device compatibility. This multi-functional approach consolidates what would otherwise require multiple separate services or devices, providing comprehensive surveillance functionality while reducing overall system cost and complexity
4Adaptability or versatility
If separate apps are required for each video device, then device-specific functionality is improved, but ease of operation deteriorates
Solution Approach 1:
The patent creates a universal cloud platform that can manage multiple types of input capture devices through a single interface. The platform provides device-agnostic access methods including web browsers and mobile applications that work with any connected device, eliminating the need for users to download and manage separate applications for each camera or video device
Data Source
AI summary
Systems and methods for managing local data for input capture devices (ICDs) over communication network are disclosed. At least one ICD and at least one user device are connected to a cloud-based analytics platform communicatively over a network. The at least one ICD has at least one visual sensor and built-in storage that captures and stores visual data at the built-in storage. The cloud-based analytics platform accesses to the visual data stored at the built-in storage and performs analytics for the captured visual data and generates analytics data. An authorized user is able to view live visual data and manage stored visual data at the at least one ICD via the at least one user device.