Video Camera Peer-to-Peer Event Tracking
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Solution Overview
Problem
Existing security systems with video cameras lack efficient communication capabilities between neighboring cameras to quickly and effectively track moving events, leading to delays in event detection and analysis.
Innovation Solution
Equipping surveillance video cameras with processors, memory, and network ports to store and communicate network addresses of neighboring cameras, allowing for peer-to-peer communication and event information sharing to alert nearby cameras to track events of interest within their field of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video cameras transmit video streams to a remote server for analysis, then centralized event detection is achieved, but response time is delayed and valuable time is lost
Solution Approach 1:
The patent divides the centralized video analysis function into distributed segments by equipping each video camera with its own processor capable of performing video analysis locally. This segmentation allows each camera to independently detect events in its field of view without waiting for remote server analysis, thereby reducing response time while maintaining detection accuracy through localized processing
Solution Approach 2:
The patent implements preliminary action by pre-equipping video cameras with processors, memory, and network communication capabilities before events occur. This allows cameras to immediately analyze video streams and detect events as they happen, rather than waiting for post-capture remote analysis, thus eliminating time loss while preserving accurate event detection
2Device complexity
If a single video camera monitors an event, then device complexity is low, but the ability to track moving events across multiple locations is insufficient
Solution Approach 1:
The patent merges multiple video cameras into a coordinated network where each camera retains its independent processing capabilities but also communicates with neighbors. This combining allows the system to track moving events across multiple locations effectively while keeping individual camera units relatively simple in structure
Solution Approach 2:
The patent implements feedback mechanisms where video cameras share event information and alerts with neighboring cameras through network communication. When one camera detects an event, it notifies adjacent cameras, which then adjust their monitoring accordingly, creating a feedback loop that enhances collective event tracking capability without significantly increasing individual device complexity
3Device complexity
If video cameras communicate with a remote server only, then network infrastructure is simplified, but coordination between neighboring cameras is inefficient
Solution Approach 1:
The patent segments the communication network into local peer-to-peer connections between neighboring cameras and maintains the remote server connection. This segmentation allows rapid direct communication between adjacent cameras for immediate event coordination while preserving the simplified overall network architecture that includes standard server infrastructure
Data Source
AI summary
A monitored area including a plurality of video cameras is monitored for possible events. A video camera captures a video stream showing a portion of the monitored area and performs video analysis on the captured video stream. When the video camera identifies an event of interest within the captured video stream, the video camera generates event information associated with the identified event of interest. The video camera uses the relative location information to determine which video camera of the plurality of video cameras is positioned to capture the event of interest now and/or in the future and instructs that video camera to track the event.