Security Appliance Correlating Object Attributes Across Multiple Cameras
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Solution Overview
Problem
Current video or image-based security systems fail to effectively combine information from multiple devices to develop a comprehensive story or attributes about detected objects, leading to incomplete understanding of events in a neighborhood.
Innovation Solution
A security appliance processes images from multiple security devices to generate and compare attributes, determining if objects are the same based on these comparisons, thereby piecing together information about detected objects across different locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple security devices capture images independently, then more images are obtained, but the information cannot be integrated to form a complete story about the detected object
Solution Approach 1:
The patent merges images from multiple security devices by extracting attributes from each image and comparing them to identify the same object across different locations. The system combines attribute data from multiple sources to create a unified object profile, effectively merging distributed information into a coherent whole.
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between multiple security devices and the final analysis. This intermediary extracts and standardizes attributes from various device images, enabling integration of information that would otherwise remain siloed in individual devices.
2Device complexity
If images from multiple devices are processed separately, then processing is simpler, but no unified object tracking is achieved
Solution Approach 1:
The patent segments the complex task of multi-device image processing into distinct stages: attribute extraction from individual images, attribute comparison across devices, and object identity determination. This segmentation maintains relative processing simplicity while enabling reliable unified object tracking through systematic comparison.
3Measurement precision
If attributes are extracted and compared across multiple devices, then object identification improves, but processing time increases
Solution Approach 1:
The patent applies partial action by selecting and comparing only key attributes from extracted image data rather than processing all possible image features. This selective approach maintains high identification accuracy while reducing the computational burden and processing time required for cross-device object matching.
Data Source
AI summary
A system and method for determining an object is disclosed. A security appliance, with a processor and memory is provided. The security appliance is configured to receive image of an object captured by a security device. The security device located in a first location. The security device also receives image of another object captured by another security device. The another security device located in a second location. The image of the object is processed to generate a first plurality of attributes for the object. The image of the another object is processed to generate a second plurality of attributes for the another object. The first plurality of attributes for the object and the second plurality of attributes for the another object are compared and based on the comparison, determine that the object and the another object are the same.