Dynamic Activity Zone Adjustment for Camera Monitoring
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Solution Overview
Problem
Existing monitoring systems face issues with false triggers due to fixed activity zones that do not adjust with changes in a camera's field-of-view, requiring manual redefinition after camera repositioning.
Innovation Solution
A method and system that dynamically modify activity zones by generating and comparing first and second image data, using computer vision techniques like image classification and edge detection to adjust polygon end points and respond to triggering events within the altered field-of-view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If activity zones are fixed after camera installation, then initial monitoring accuracy is achieved, but the system produces false triggers when camera field-of-view changes
Solution Approach 1:
The patent implements dynamic activity zones that automatically adjust when camera field-of-view changes are detected through image data comparison. Instead of fixed zones, the system continuously adapts zone boundaries to match the current camera orientation, eliminating false triggers caused by camera repositioning while maintaining monitoring accuracy for intended areas.
Solution Approach 2:
The system employs feedback mechanisms by comparing current image data with reference image data to detect camera field-of-view changes. When changes are detected, the system automatically modifies activity zone boundaries based on the detected displacement, creating a closed-loop control system that maintains monitoring reliability despite camera movement.
2Reliability
If manual redefinition of activity zones is required after camera repositioning, then monitoring accuracy can be restored, but system complexity and user burden increase
Solution Approach 1:
The patent implements self-service functionality where the system automatically detects camera field-of-view changes through image data comparison and autonomously adjusts activity zone boundaries without requiring user intervention. This eliminates manual redefinition steps while maintaining monitoring accuracy, reducing both user burden and operational complexity.
Solution Approach 2:
The system replaces manual mechanical adjustment of activity zones with automated computational methods. By using image processing algorithms to detect camera displacement and automatically recalculate zone boundaries, the system eliminates the need for manual repositioning operations while achieving the same monitoring accuracy restoration.
3Object-affected harmful factors
If activity zones exclude background motion areas, then false triggers are reduced, but the zones must be precisely positioned which increases setup time
Solution Approach 1:
The patent performs preliminary positioning of activity zones during the installation phase, then uses automated image comparison to detect any subsequent camera displacement. When displacement is detected, the system automatically adjusts zone boundaries to maintain proper positioning, eliminating the need for repeated manual adjustments and reducing overall setup time while continuing to exclude background motion areas.
Data Source
AI summary
A method of dynamically altering an activity zone within an electronic monitoring system is provided. The method includes generating first image data with a camera having a first field-of-view. Upon receiving the first image data, defining an activity zone therein. Subsequently, generating a second image data with the camera having a second field-of view that differs at least in-part from the first field-of-view. In response to the second image data being different from the first image data, modifying the activity zone to be at a second area that corresponds to the area defined in the first image data, and then responding to a triggering event occurring within the activity zone of the second area. The invention additionally relates to a system that implements such a method.