Scene-Based Camera-to-Recorder Load Balancing for CCTV Reliability
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Solution Overview
Problem
Large-scale CCTV installations face challenges in optimally assigning cameras to recorders due to varying specifications, leading to inefficient load balancing and potential recorder failures.
Innovation Solution
A method and apparatus for load balancing cameras to recorders based on scene analysis, using factors like camera importance, storage redundancy, activity level, and object proximity to dynamically assign cameras to recorders with matching specifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated load balancing is implemented without scene analysis, then manual assignment is eliminated and automation is improved, but optimal matching of cameras to recorders cannot be ensured
Solution Approach 1:
The system performs preliminary scene analysis to determine scene importance values before making camera-to-recorder assignments. This advance analysis allows the automated system to make informed decisions about optimal matching, resolving the contradiction by preparing necessary information beforehand rather than making blind automated assignments.
Solution Approach 2:
The system uses scene analysis feedback to dynamically adjust load balancing decisions. By continuously analyzing scene importance and using this feedback to guide camera-to-recorder assignments, the system achieves both automation and optimal matching, as the feedback loop ensures decisions are based on actual scene requirements.
2Device complexity
If cameras are assigned to recorders without considering scene importance, then assignment complexity is reduced, but recorder failures and storage inefficiency increase
Solution Approach 1:
The system introduces scene importance as a key parameter in the assignment process. By changing the assignment criteria from simple round-robin or random distribution to importance-based matching, the system maintains manageable complexity while significantly improving reliability and preventing recorder failures through better load distribution.
Solution Approach 2:
The system applies different assignment strategies to different cameras based on their scene importance. High-importance cameras are assigned to recorders with higher reliability or more capacity, while lower-importance cameras can tolerate standard recorders. This localized quality approach improves overall system reliability without uniformly increasing complexity across all assignments.
3Reliability
If all cameras are assigned to high-capacity recorders, then storage redundancy is improved, but storage capacity utilization becomes inefficient
Solution Approach 1:
The system applies different storage allocation strategies to different cameras based on scene importance. High-importance cameras receive enhanced storage redundancy on high-capacity recorders, while lower-importance cameras are assigned to standard recorders with baseline redundancy. This local quality approach ensures adequate protection for critical scenes while maintaining efficient storage utilization across the system.
Solution Approach 2:
The system dynamically adjusts storage allocation parameters based on scene importance values. By changing the redundancy factor and capacity allocation as variables rather than fixed values, the system optimizes both reliability and productivity, ensuring that storage resources are proportionally distributed according to actual scene requirements rather than uniformly across all cameras.
Data Source
AI summary
A method and apparatus for performing a load balancing assignment of a set of cameras having different camera specifications to a set of recorders having different recorder specifications/The aspects include determining a set of load balancing factors configured to match the cameras in the set of cameras to the recorders in the set of recorders responsive to scene analysis information. The set of load balancing factors include at least a camera scene importance. The aspects include assigning one or more of the cameras in the set to record to one or more of the recorders in the set responsive to the set of load balancing factors and the set of recorder specifications. The aspects include recording, by the one or more of the recorders, video information from a corresponding one of the one or more cameras based on the assigning of one or more of the cameras to record to the one or more of the recorders.