Wall Diagnostic Radar With Uncertainty Feedback
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Solution Overview
Problem
Existing wall diagnostic devices lack the ability to provide accurate and reliable object recognition and classification within walls, along with uncertainty values to indicate the quality of the diagnostic results, and do not effectively utilize feedback for improving their performance.
Innovation Solution
A method for operating a wall diagnostic device that includes receiving radar data, performing object recognition and classification, determining uncertainty values for the results, and displaying them, along with a selection function to improve diagnostics, and utilizing feedback information to enhance the diagnostic module's performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wall diagnostic devices perform object recognition and classification, then diagnostic capability is improved, but reliability of results is insufficient without uncertainty indication
Solution Approach 1:
The patent implements feedback by calculating uncertainty values from the neural network's output probabilities and feeding this information back to the user through the display unit. This allows users to assess the reliability of each diagnostic result individually, transforming the neural network's internal confidence metrics into actionable feedback that enhances result reliability assessment.
2Ease of operation
If uncertainty values are provided for diagnostic results, then user assessment capability is improved, but device complexity increases
Solution Approach 1:
The neural network performs self-assessment by generating uncertainty values from its own output probabilities without requiring external validation or additional complex processing systems. The diagnostic module then automatically translates these probabilities into uncertainty values, enabling the system to self-evaluate its diagnostic confidence and present this information to users.
3Reliability
If feedback information is collected from users, then diagnostic module performance can be improved, but system complexity increases
Solution Approach 1:
The patent implements a feedback loop where user selections (correct/incorrect diagnostic results) are collected and transmitted to a server. The server processes this feedback information and uses it to retrain the neural network, improving diagnostic performance over time. This distributed feedback approach allows performance improvement without significantly increasing the complexity of the handheld device itself.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy and reliability of wall diagnostics by providing probability values for object positions and types, allowing users to assess result quality and enabling continuous improvement through user feedback, thereby improving the overall diagnostic process.
Implementation Method 1
receiving radar data from a radar sensor unit of the measuring device
Data Source
AI summary
A computer-implemented method for operating a measuring device, in particular a wall diagnostic device, includes (i) receiving radar data of a radar sensor unit of the measuring device, wherein the radar data depicts a wall to be diagnosed, (ii) performing wall diagnostics by performing an analysis of the radar data and providing diagnostic results via a diagnostic module of the measuring device, (iii) providing the diagnostic results and the uncertainty values via the diagnostic module on a display unit of the measuring device, and (iv) displaying the diagnostic results and the uncertainty values in the display unit.