Video Recording System Host Subsystem Load Distribution
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Solution Overview
Problem
The increasing resolution of camera images and associated image processing loads have overwhelmed host systems in video recording systems, necessitating a distribution of the processing load to alleviate the burden.
Innovation Solution
A video recording system is designed with a camera, a host system supporting a serial bus protocol like PCIe, and sub-systems that transmit and receive data via a serial bus interface, allowing for distributed image processing and storage, including decoding, analysis, and event detection, with the host system managing data transmission and storage while distributing processing loads to sub-systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the host system processes all image data centrally, then image processing quality is maintained, but the processing load on the host system increases significantly
Solution Approach 1:
The patent divides the video recording system into multiple independent sub-systems (first sub-system for decoding, second sub-system for analysis) that can process image data in parallel. Each sub-system handles specific processing tasks independently, reducing the centralized load on the host system while maintaining overall processing quality through coordinated operation of multiple specialized units.
2Productivity
If multiple sub-systems are introduced for distributed processing, then the processing load on the host system is reduced, but the system complexity increases
Solution Approach 1:
The host system is designed as a universal controller that can manage multiple different types of sub-systems through a standardized interface. The host system supports multiple protocols and can coordinate various functional units (decoding, analysis, storage) without requiring separate control logic for each, thereby reducing the complexity increase that would normally result from adding multiple specialized components.
3Measurement precision
If high-resolution imaging is implemented, then image quality is improved, but the data processing load and storage requirements increase
Solution Approach 1:
The system segments high-resolution image data processing into multiple parallel sub-systems that can handle different aspects of the data simultaneously. The first sub-system decodes the high-resolution data while the second sub-system performs analysis, allowing the system to maintain high image quality without overwhelming a single processing unit with the entire data load.
Data Source
AI summary
Provided is a video recording system. The video recording system includes a camera configured to obtain an image signal, a host system configured to obtain the image signal from the camera and support a serial bus protocol, a sub-system including a serial bus interface unit configured to transmit or receive data to or from the host system, and a storage device configured to receive the image signal from the host system and record the received image signal.