Dynamic Activity Zone Adjustment for Camera Repositioning
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Solution Overview
Problem
Existing monitoring systems with user-defined activity zones face issues when the camera's field-of-view changes, leading to false triggers or the need for manual redefinition of zones.
Innovation Solution
A method and system that dynamically modify activity zones in response to changes in the camera's field-of-view by generating and processing image data to adjust the zones accordingly, ensuring continuous accurate monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user-defined activity zones are fixed after installation, then the system is simple to operate initially, but the zones become misaligned with the intended monitoring areas when the camera is repositioned
Solution Approach 1:
The activity zones are transformed from static fixed coordinates to dynamic zones that automatically adjust when the camera repositions. The system detects camera movement and recalculates zone coordinates relative to the new field-of-view, ensuring zones remain aligned with intended monitoring areas without requiring manual reconfiguration.
Solution Approach 2:
The system continuously monitors camera position and field-of-view changes, using this feedback to automatically update activity zone definitions. When motion detection or image analysis indicates the camera has moved, the system recalculates zone positions to maintain proper alignment with monitored areas.
2Reliability
If activity zones are manually redefined after camera repositioning, then zone alignment accuracy is maintained, but the system complexity and user burden increase
Solution Approach 1:
The system performs automatic self-adjustment of activity zones when camera repositioning is detected. Through image comparison and coordinate transformation algorithms, the system independently recalculates and updates zone positions without requiring user intervention, thereby maintaining accuracy while reducing complexity.
Solution Approach 2:
The system pre-establishes the relationship between camera position and activity zone coordinates during initial setup. This preliminary configuration enables automatic recalculation and adjustment when the camera moves, eliminating the need for manual redefinition while maintaining alignment accuracy.
3Adaptability or versatility
If the camera field-of-view changes, then the monitoring coverage can be adjusted, but the fixed activity zones produce false triggers from areas no longer corresponding to intended targets
Solution Approach 1:
Activity zones dynamically adapt to camera field-of-view changes by automatically recalculating their boundaries based on the new viewing angle and position. This prevents false triggers from areas that are no longer within the intended monitoring zones while maintaining coverage of relevant areas.
Solution Approach 2:
The system uses feedback from image data analysis to detect when the camera field-of-view has changed. Based on this feedback, it automatically adjusts activity zone boundaries to match the current field-of-view, thereby eliminating false triggers from misaligned zones while preserving monitoring coverage flexibility.
Data Source
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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-ofview. 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.