Camera Security Zones Using Polygon Boundaries and Auto Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing security systems face challenges in efficiently creating and maintaining precise and accurate zone geometries for image capture devices, leading to processing errors and resource inefficiencies due to the need for rectangular bounding boxes and discontinuous zone boundaries.
Innovation Solution
Implementing user-friendly zone graphical user interfaces (GUIs) that allow users to define zones of any shape, including irregular polygons, and utilizing automatic image segmentation techniques to create and adjust zones, along with autonomous zone creation and adjustment based on image history and device movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If rectangular bounding boxes are used to define zones, then the system is simpler to implement, but the zone geometry precision and accuracy deteriorate
Solution Approach 1:
The patent divides the image into multiple zones using irregular polygonal boundaries instead of single rectangular bounding boxes. This segmentation allows precise definition of multiple distinct areas (e.g., different rooms or regions) with accurate geometric boundaries, resolving the contradiction between simplicity and precision by using structured zone division.
Solution Approach 2:
The patent transitions from one-dimensional rectangular bounding boxes to two-dimensional irregular polygonal zones defined by multiple vertices. This dimensional enhancement allows zones to conform to actual geometric boundaries in the image, achieving precise zone geometry while maintaining systematic implementation through vertex coordinate specifications.
2Manufacturing precision
If continuous zone boundaries are implemented, then the zone accuracy improves, but the processing complexity and resource consumption increase
Solution Approach 1:
The patent segments continuous zone boundaries into discrete vertex points that define irregular polygons. By representing zones as collections of vertices rather than continuous curves, the system achieves accurate zone boundaries while enabling efficient digital processing through discrete coordinate data, thus resolving the contradiction between accuracy and processing efficiency.
Solution Approach 2:
The patent uses digital vertex coordinate representations to copy and store zone geometries. This allows precise zone boundaries to be defined once and then efficiently processed, transmitted, and applied multiple times without requiring continuous boundary data, reducing resource consumption while maintaining accuracy.
3Extent of automation
If manual zone definition is used, then the system requires less automation, but the time and effort to create and maintain zones increases
Solution Approach 1:
The patent enables the system to automatically define zones by detecting features in images and autonomously creating irregular polygonal zone boundaries. The system serves itself by automatically identifying regions of interest, calculating vertex coordinates, and generating zone definitions without manual intervention, thus resolving the contradiction between automation level and time investment.
Solution Approach 2:
The patent performs preliminary automated zone definition based on image analysis before monitoring begins. By pre-processing images to identify and define zones automatically, the system eliminates the need for manual zone configuration and maintenance, reducing time loss while implementing comprehensive automation.
4Adaptability or versatility
If irregular polygonal zones are allowed, then the zone accuracy and applicability improve, but the device complexity increases
Solution Approach 1:
The patent segments complex irregular polygonal zones into simplified vertex coordinate representations. By defining zones as ordered collections of vertices rather than complex geometric shapes, the system achieves high adaptability for any zone shape while maintaining relatively simple data structures and processing logic, thus resolving the contradiction between versatility and system complexity.
Data Source
Figure 1
Figure 2~3
Figure 4A
AI summary
A method is provided. The method includes receiving, from a monitor interface implemented by a first computing device, input specifying a zone within a field of view of an image capture device; storing, in response to reception of the input, a record defining the zone; receiving, from the image capture device, an image acquired within the field of view by the image capture device; and rendering, via a customer interface implemented by a second computing device distinct from the first computing device, the image with a representation of the zone overlaid upon the image.