Smart Security Camera Activity-Zone Alignment After View Shifts
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Solution Overview
Problem
Existing smart security camera systems face issues with inaccurate activity zones due to shifts in the field of view caused by device repositioning or environmental factors, leading to false or missed alarms.
Innovation Solution
A method and system that automatically adjusts the activity zone within the field of view by comparing pixel images before and after shifts, using computer vision to maintain the area of interest in the monitored zone.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the imaging device is repositioned for charging or due to environmental factors, then the device can be maintained or relocated, but the activity zone shifts relative to the area of interest causing false or missed alarms
Solution Approach 1:
The system captures a reference image of the area of interest before the imaging device is repositioned. This preliminary action stores the spatial relationship between the activity zone and the area of interest, enabling later adjustment to compensate for position changes and maintain alarm accuracy.
Solution Approach 2:
The system compares the current field of view with the stored reference image to detect shifts in the activity zone position. Based on this feedback, the system automatically adjusts the activity zone coordinates to maintain proper alignment with the area of interest, preventing false or missed alarms.
2Ease of operation
If the activity zone is fixed based on initial positioning, then the monitoring setup is simple, but the zone becomes inaccurate when the device moves
Solution Approach 1:
During initial setup, the system captures a reference image storing the precise spatial relationship between the activity zone and area of interest. This preliminary measurement enables later automatic adjustments without requiring complex reconfiguration, maintaining both simplicity and precision.
Solution Approach 2:
The system dynamically adjusts the activity zone parameters (coordinates and boundaries) based on comparison with the reference image. This automatic parameter modification maintains measurement precision after device movement without complicating the initial setup process.
3Reliability
If motion detection is enabled in the entire field of view, then all motion is captured, but false alarms increase from motion outside the area of interest
Solution Approach 1:
The system defines a specific activity zone within the broader field of view, concentrating motion detection resources on the area of interest. This localized approach maintains reliable detection of relevant motion while filtering out distractions from peripheral areas, reducing false alarms.
Data Source
AI summary
A method and a smart security camera system are provided for automatically adjusting an activity zone relative to a field of view of a security system imaging device such as video camera. The activity zone is within an initial field of view of the imaging device's camera and includes a monitored area of interest. An image of the activity zone is compared with an image of the updated field of view to determine a position of the activity zone relative to the area of interest in the updated field of view. The activity zone is automatically moved in the updated field of view to the determined position, if necessary. The activity zone thus is shifted a necessary within the updated field of view to encompass the area of interest.