Security Social Network Image Filtering Mechanism
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Solution Overview
Problem
Security social networks face overwhelming data influx from thousands of member devices during events, leading to system overload and the potential transmission of undesired images, such as those from devices in private locations.
Innovation Solution
Implementing server-side and device-side filtering techniques to selectively request and transmit data based on device capabilities, location, and predetermined conditions, such as image quality and exclusion areas, to reduce data volume and prevent unwanted image acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is acquired from all member devices near an event, then comprehensive security data is collected, but system overload and network overload occur
Solution Approach 1:
The patent applies preliminary action by having devices determine image quality metrics (such as focus, exposure, and composition) before actually capturing and transmitting images. This pre-assessment prevents unnecessary data transmission from devices that would produce poor-quality images, thereby reducing overall data volume while maintaining system processing capacity.
Solution Approach 2:
The patent changes parameters by introducing quality threshold criteria (such as focus quality, exposure quality, and composition quality) that devices must meet before transmitting images. This parameter-based filtering mechanism dynamically adjusts which devices contribute data based on their current imaging conditions, optimizing the balance between data collection and system load.
2Quantity of substance
If images are acquired from all devices in the area, then complete coverage is achieved, but unwanted images from private locations are transmitted
Solution Approach 1:
The patent applies preliminary action by having devices assess their current environment and image quality before capturing images. Devices determine whether they are in appropriate locations (not private areas like restrooms or pockets) by evaluating composition quality and contextual information, preventing unwanted images from being captured in the first place.
Solution Approach 2:
The patent implements feedback mechanisms where devices continuously monitor their environment and image quality metrics, and the central server provides feedback about acceptable image criteria. This feedback loop enables devices to self-regulate and avoid capturing unwanted images from private locations while maintaining comprehensive coverage from legitimate sources.
3Measurement precision
If filtering mechanisms are implemented, then data quality is improved, but device complexity increases
Solution Approach 1:
The patent applies self-service by enabling individual devices to autonomously evaluate their own image quality metrics (focus, exposure, composition) using their built-in sensors and processing capabilities. Each device independently determines whether its images meet quality thresholds without requiring complex external filtering infrastructure, thereby improving data quality while minimizing additional system complexity.
Data Source
AI summary
A method and apparatus for choosing mobile telephones within a security social network is provided herein. Choosing mobile telephones may take place on a server side or a mobile telephone side. Even though mobile telephones lie within a particular area of interest, no image will be obtained/provided from the mobile telephone when a predetermined condition is met. This will greatly reduce an amount of images provided by mobile telephones along with reducing the possibility of an unwanted image being obtained.