Surveillance Camera Upgrade Prioritization for Analytics Coverage
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Solution Overview
Problem
Existing surveillance systems with outdated video cameras face challenges in determining which cameras to upgrade for enhanced security and performance, as replacing all cameras can be impractical due to accessibility issues and high costs, and older cameras may consume more power and resources without providing adequate analytics capabilities.
Innovation Solution
The system determines a minimum subset of video cameras to upgrade based on adjacency, coverage overlap, and analytics suitability, using a video analytics engine to generate upgrade priority scores, recommending camera replacements, new installations, or modifications to improve video analytics and reduce resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all video cameras are replaced with newer models, then analytics capabilities and performance are improved, but cost and complexity of the upgrade project increase significantly
Solution Approach 1:
The patent divides the surveillance system into individual camera units and evaluates them separately using upgrade priority scores. Each camera is assessed independently based on its analytics capability, coverage area, and operational status, allowing selective upgrading rather than system-wide replacement. This segmentation enables prioritizing critical cameras while deferring or eliminating non-critical replacements.
Solution Approach 2:
The patent applies different upgrade priorities to different cameras based on their specific roles and performance characteristics. Cameras are evaluated individually with unique scores reflecting their local importance to overall system analytics capability, rather than applying a uniform replacement policy across all cameras. This allows optimizing resources by upgrading only where locally necessary.
2Reliability
If all video cameras are replaced with newer models, then analytics capabilities are improved, but the cost of the upgrade increases significantly
Solution Approach 1:
The patent implements partial action by upgrading only a subset of cameras rather than all cameras. The system calculates upgrade priority scores and selects the minimum necessary number of cameras to upgrade to achieve desired analytics improvement. This partial approach reduces upgrade costs while still providing meaningful system enhancement.
Solution Approach 2:
The patent uses video footage from existing cameras to simulate and evaluate potential analytics improvements before actual upgrades are made. By analyzing captured footage with proposed analytics algorithms, the system can predict upgrade benefits and prioritize cameras that will provide maximum value, reducing unnecessary upgrade costs.
3Quantity of substance
If older video cameras are used, then cost is reduced, but power consumption increases and analytics capabilities are insufficient
Solution Approach 1:
The patent substitutes older camera hardware with newer models that have integrated analytics processing capabilities. This replacement shifts computational workload from external processing systems to the camera units themselves, improving analytics performance while the selective upgrade approach controls overall power consumption increases.
4Quantity of substance
If older video cameras are used, then cost is reduced, but analytics capabilities are insufficient
Solution Approach 1:
The patent performs preliminary evaluation of existing cameras by analyzing their captured footage to determine analytics suitability and upgrade priority. This preliminary assessment identifies which cameras provide the most value for upgrading, allowing the system to achieve adequate analytics capabilities with minimal upgrade investment by focusing resources on the most critical cameras.
Data Source
AI summary
One example electronic computing device includes electronic processor configured to store a list of a plurality of video cameras being considered for an upgrade. The electronic processor may be further configured to receive first video footage captured by a first video camera and second video footage captured by a second video camera. The electronic processor may be further configured to analyze the first video footage and the second video footage to generate a plurality of upgrade priority scores. In response to determining that a first upgrade priority score of the first video camera is greater than a second upgrade priority score of the second video camera, the electronic processor may be further configured to output an upgrade priority notification configured to inform a user that the first video camera has a higher upgrade priority than the second video camera.