Timer-Gated Image Search for Local Network Synchronization
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Solution Overview
Problem
Providing synchronized information efficiently in computing systems with diverse computing devices is challenging due to differences in formats and protocols.
Innovation Solution
A system and method that utilize image data processing, including machine-learning models like optical character recognition and object detection, to generate search results and update graphical user interfaces based on image analysis, with features like timers and context-based search requests to optimize network searches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous image processing and search operations are performed on heterogeneous networks, then information synchronization is achieved, but system resource consumption and processing time increase
Solution Approach 1:
The patent implements periodic action by using timers to control when image processing and search operations are performed. Instead of continuous processing, the system captures images at specific intervals or triggers based on timer expiration, reducing unnecessary processing while maintaining information synchronization. The timer mechanism ensures that search operations are executed periodically rather than continuously, balancing synchronization reliability with processing time efficiency.
2Measurement precision
If multiple machine-learning models are used for comprehensive image analysis, then search result accuracy is improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent applies segmentation by dividing the image analysis task into multiple specialized machine-learning models, each handling specific aspects of image processing. Instead of using one complex model for all analysis, the system employs multiple models that can be selectively applied based on the specific search context and image content, reducing overall device complexity while maintaining high accuracy through specialized processing.
Solution Approach 2:
The system implements partial action by selectively applying machine-learning models based on the specific search query and image content. Not all models are executed for every search operation; instead, the system determines which models are necessary for the current context, reducing processing overhead and device complexity while maintaining search result accuracy when needed.
3Loss of information
If frequent search operations are executed to maintain synchronized information, then information currency is improved, but network bandwidth and system resources are consumed
Solution Approach 1:
The patent uses periodic action implemented through timers to control the frequency of search operations. The system executes searches at predetermined intervals or when specific conditions are met, rather than continuously or too frequently. This approach maintains information currency by regularly updating search results while reducing network bandwidth consumption and system resource usage compared to continuous searching.
Data Source
AI summary
Systems and methods for local network search optimization based on timers are disclosed. A system can receive first image data from a capture device, the first image data comprising a plurality of first pixels representing an environment. The system can generate a first set of values from the plurality of first pixels and initiate a timer corresponding to the first image data. Generation of additional values from further image data captured by the device can be restricted prior to expiration of the timer. Upon determining that the timer has expired, the system can generate a second set of values from a plurality of second pixels of second image data received from the capture device. The system can then execute a search operation using at least one first value of the second set of values.