Valid Analysis Region Evaluation for Image Monitoring
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Solution Overview
Problem
Onsite personnel lack the necessary tools and expertise to define a valid analysis region in specific scenes for image analysis, leading to inefficient and manpower-intensive trial-and-error methods that do not guarantee accurate results.
Innovation Solution
A method and system for evaluating a valid analysis region by extracting continuous images, performing image analyses to identify detectable objects or events, and generating a closed valid analysis region, which reduces the workload during monitoring and assists in configuring detection conditions, using modules for image extraction, analysis, and learning to automate the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual trial-and-error method is used to define valid analysis region, then flexibility in adjustment is maintained, but productivity is reduced and time is lost
Solution Approach 1:
The system performs preliminary image analysis on historical or sample images to automatically generate candidate valid analysis regions before actual monitoring begins. This preliminary action provides a head start, reducing the time and manual effort needed during deployment while maintaining adjustability through subsequent refinement.
Solution Approach 2:
The system enables the valid analysis region definition process to serve itself by automatically analyzing scene images, identifying detectable objects and events, and generating analysis region configurations without requiring continuous manual intervention. The automated system refines and adjusts regions based on detected patterns and feedback.
2Ease of operation
If manual trial-and-error method is used to define valid analysis region, then professional knowledge requirement is avoided, but measurement precision is reduced
Solution Approach 1:
The system replaces manual expert judgment and professional knowledge with automated image analysis algorithms and machine learning models. These computational systems objectively analyze scene images to identify detectable objects, events, and appropriate analysis regions, eliminating subjectivity and ensuring consistent precision without requiring human experts.
3Reliability
If automated image analysis is performed on entire scene, then comprehensive detection is achieved, but energy consumption increases and productivity decreases
Solution Approach 1:
The system extracts and focuses computational resources only on the identified valid analysis regions rather than processing the entire scene image. By extracting the relevant portions where detectable objects and events are likely to occur, the system maintains comprehensive detection coverage within those regions while significantly reducing overall energy consumption and computational load.
Solution Approach 2:
The system applies different processing qualities and intensities to different regions of the scene. High-resolution, comprehensive analysis is applied only to valid analysis regions where detection is needed, while other areas receive minimal or no processing. This local differentiation maintains detection reliability where required while reducing overall energy consumption.
4Reliability
If valid analysis region is not properly defined, then monitoring coverage is maintained, but loss of time increases due to processing unnecessary regions
Solution Approach 1:
The system performs preliminary analysis to pre-define valid analysis regions before actual monitoring begins. By preparing the analysis region boundaries and parameters in advance based on scene characteristics and detection requirements, the system eliminates time-wasting adjustments and reprocessing during operational monitoring, maintaining full coverage without redundant processing.
Data Source
AI summary
A method and system of evaluating a valid analysis region of a specific scene, wherein the method and system performs image analyses on continuous images/frames of a specific scene to obtain detectable object or event information therein, so as to generate a closed valid analysis region to reduce the overall data and loading of image analyses during actual monitoring, processing and analyzing of the specific scene.


