Camera Network Analytical Resource Sharing
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Solution Overview
Problem
Conventional camera-based security systems often have a mix of A.I-enabled and non-A.I-enabled cameras within the same network, leading to security gaps and reduced accessibility due to the limited utilization of advanced security features across the entire network.
Innovation Solution
A method for sharing analytical resources in a camera network, where non-A.I-enabled cameras capture video clips and transmit them to A.I-enabled cameras for analysis, using available bandwidth, and then receive metadata for display, effectively leveraging A.I capabilities across the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only A.I-enabled cameras are used for advanced security features, then analysis capability is improved, but system cost and installation complexity increase
Solution Approach 1:
The patent combines A.I. analysis capability with basic video capture by allowing A.I.-enabled cameras to analyze video clips from both their own sensors and from non-A.I cameras. This merging of functions enables the network to achieve advanced analysis capabilities without requiring every camera to be expensive A.I.-enabled, thus resolving the contradiction between analysis capability and system cost.
2Device complexity
If A.I features are concentrated in only some cameras, then device complexity is reduced, but security coverage and accessibility are worsened
Solution Approach 1:
The patent implements universality by enabling A.I.-enabled cameras to serve dual purposes: capturing their own video and analyzing video from non-A.I cameras. This multi-functionality ensures that advanced security features are accessible across the entire network, not just at locations with A.I cameras, thereby improving security coverage without increasing individual camera complexity.
3Reliability
If all cameras have A.I features, then security capability is improved, but bandwidth consumption and processing load increase
Solution Approach 1:
The patent extracts the A.I. processing function from individual non-A.I cameras and consolidates it in dedicated A.I.-enabled cameras. Non-A.I cameras only perform basic video capture and transmission, while A.I. analysis is performed separately by specialized cameras. This separation reduces the processing load and bandwidth consumption for each device while maintaining comprehensive security capability across the network.
Data Source
AI summary
Example implementations include a method, apparatus, and computer-readable medium for sharing analytical resources in a camera network, comprising capturing a video clip comprising a set of image frames via a first camera, wherein the first camera is part of the camera network comprising a plurality of cameras. The implementations further include transmitting, via the first camera, the video clip to a second camera in the camera network for analysis, wherein the second camera is configured to analyze, for a given period of time, one or more frames of the video clip in place of one or more frames that are locally captured by the second camera that would have been analyzed during the given period of time. The implementations further include receiving, by the first camera from the second camera, results of the analysis. The implementations include generating, for display on a user interface, the video clip with the results.