Network Media Device Automatic Code Recognition
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Solution Overview
Problem
Existing broadcast receivers lack an efficient method to associate with network media devices, and existing code processing systems require user intervention to access information from codes, making them cumbersome for users.
Innovation Solution
A network media device is configured to receive and process image codes, such as QR codes, from broadcast receivers over audio/video interfaces, allowing for automatic identification and transmission of control signals, and enabling automatic access and display of supplemental content without user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user intervention is used to access code information, then user control and accuracy are maintained, but user effort and operation complexity increase
Solution Approach 1:
The system performs automatic code recognition and information retrieval without requiring user intervention. The network media device automatically scans codes in video streams, extracts information, and accesses supplemental content, allowing the system to serve itself rather than requiring manual user operation.
Solution Approach 2:
The system pre-processes video streams to detect and recognize codes before user interaction is needed. By continuously monitoring video content and identifying codes in advance, the system prepares information for automatic retrieval, eliminating the need for users to manually search or input data.
2Extent of automation
If automatic code processing is implemented, then user effort is reduced, but system complexity and processing requirements increase
Solution Approach 1:
The network media device performs multiple functions including video playback, code recognition, information extraction, and supplemental content retrieval within a single integrated system. This multi-functionality allows automatic processing without requiring separate dedicated devices for each task, managing complexity through consolidation.
Solution Approach 2:
The system uses the existing video stream as an intermediary carrier for code transmission. Rather than requiring separate code input devices, the code is embedded within the video content that is already being processed and displayed, leveraging existing infrastructure for automatic recognition.
3Adaptability or versatility
If codes are embedded in video streams, then content integration is improved, but code detection difficulty increases
Solution Approach 1:
The system continuously processes video streams frame by frame, maintaining constant monitoring for code patterns. This continuous scanning ensures that embedded codes are detected regardless of their position or timing within the video content, maintaining high detection reliability despite the integrated format.
Data Source
AI summary
One embodiment may take the form of a network media device including a processing unit configured to execute instructions stored on one or more storage media, and a first communication component coupled to the processing unit and configured to receive a video signal over an audio/video interface from a broadcast receiver. The video signal may include an image code including identifying information regarding the broadcast receiver. The processing unit may be configured to process the image code to extract the identifying information. A second communication component may be coupled to the processing unit and configured to transmit control signals based on the identifying information of the broadcast receiver.