Secure Subsystem Detecting Coded Graphical Objects in Video Streams
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Solution Overview
Problem
Current secure computing methods lack effective mechanisms for taking predetermined actions based on coded graphical objects in video content displayed by computer devices, such as barcodes or QR codes, which limits their security functionality and management capabilities.
Innovation Solution
A secure computing system that includes a host computer and a secure subsystem capable of analyzing video streams for coded graphical objects, allowing for predetermined actions like notification of a security service or automatic interaction with web services, such as logging into email accounts, by detecting and decoding these objects using pattern recognition techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If secure computing methods analyze video streams for coded graphical objects, then security functionality and management capabilities are enhanced, but device complexity increases
Solution Approach 1:
The secure subsystem is nested within the host computer system, allowing the security analysis functionality to be embedded without requiring a completely separate system. The video stream analysis is performed within the existing system architecture, reducing overall complexity while enhancing security.
Solution Approach 2:
A secure subsystem acts as an intermediary between the host computer and the video stream analysis process. This mediator handles the complex pattern recognition and coded object detection tasks, isolating the complexity from the main system while providing enhanced security functionality.
2Productivity
If predetermined actions are automatically taken based on detected coded objects, then productivity and security response are improved, but ease of operation decreases
Solution Approach 1:
Predetermined actions are configured in advance for specific coded graphical objects. When a coded object is detected, the pre-configured action is automatically executed, improving security response efficiency without requiring real-time user decision-making.
Solution Approach 2:
The system provides feedback mechanisms that allow users to review and adjust predetermined actions and configurations. This maintains ease of operation by enabling user control over the automated security responses while still achieving high productivity through automatic execution.
Data Source
AI summary
In general, embodiments of the invention include methods and apparatuses for taking predetermined actions based on coded graphical objects in video content for display by a computer device. According to some aspects, the coded graphical object can include a barcode or QR code. According to additional aspects, the predetermined actions can include performing a monitoring function or automatically providing credentials to a web service.