Dynamic Video Capture Adjustment for Mixed Workload Management
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Solution Overview
Problem
Video surveillance systems face challenges in managing mixed workloads, particularly when playback or analytics access impacts the write streaming of cameras, leading to substantial delays due to tightly coupled onboard resources and storage devices optimized for write cycles.
Innovation Solution
A workload-triggered dynamic capture system that adjusts video capture parameters such as resolution, frame rate, and encoding settings based on the impact of data retrieval requests, using a surveillance controller to determine the necessary mitigation options and reconfigure video capture settings to lower the bit rate and manage storage device resources effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If storage devices are optimized for write cycles to prioritize video recording, then write performance is improved, but read performance for playback and analytics deteriorates
Solution Approach 1:
The system dynamically adjusts video capture parameters (resolution, frame rate, bitrate) in response to workload conditions. When read operations are detected, the system automatically lowers capture quality to reduce write bandwidth requirements, allowing storage resources to be reallocated to read operations without hardware modifications.
Solution Approach 2:
The invention changes operational parameters of the video capture system based on system state. By monitoring storage device workload and adjusting capture parameters such as resolution, frame rate, and bitrate, the system adapts write demands to match available storage capacity, enabling mixed workloads to coexist on write-optimized hardware.
2Reliability
If onboard resources are tightly coupled to data write rates to ensure continuous recording, then recording reliability is improved, but mixed workload handling deteriorates
Solution Approach 1:
The system self-regulates by monitoring its own workload state and automatically adjusting capture parameters. When read operations are detected, the surveillance controller autonomously lowers write bandwidth requirements by reducing capture quality, allowing the system to serve both recording and playback/analytics needs without external intervention or hardware changes.
Solution Approach 2:
The system transitions from static resource allocation to dynamic adaptation. By continuously monitoring storage device state and adjusting capture parameters in real-time, the system maintains recording reliability while adapting to mixed workload conditions, enabling cost-effective surveillance systems to handle both recording and playback/analytics operations.
3Manufacturing precision
If video capture parameters are maintained at high quality to ensure surveillance effectiveness, then surveillance quality is improved, but storage workload and potential data dropouts worsen
Solution Approach 1:
The system applies partial quality reduction only when necessary. Instead of maintaining full quality continuously, the system temporarily lowers capture parameters only during periods when read operations are detected and write bandwidth is constrained, preserving surveillance effectiveness during normal operation while preventing data dropouts during mixed workloads.
Data Source
AI summary
Systems and methods for managing write stream workload of video surveillance systems through playback workload triggered dynamic capture are described. A video camera may include a video image sensor for receiving video data. The video data may be written to a storage device. A request for access to the video data may then be received. An impact on a standard data write stream may be determined based on the time window determined for the access to the video data. At least one mitigation option may be initiated at the video image sensor as a result.