Radar Wall Diagnostic Device for Wall-Aware Object Detection
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Solution Overview
Problem
Existing wall diagnostic devices require manual user input for wall type selection, leading to potential errors in diagnosis and inaccurate object detection due to varying radar data effects from different wall types.
Innovation Solution
A computer-implemented method for a wall diagnostic device that automatically classifies wall types and performs object detection using radar data, incorporating a diagnostic module that analyzes radar data to determine wall type and account for its effects on object detection, with features like partial classification, fusion algorithms, and movement detection for precise results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual user input is used for wall type selection, then the device complexity is reduced, but the measurement precision deteriorates due to potential user errors and inaccurate wall type selection
Solution Approach 1:
The measuring device automatically determines the wall type by analyzing radar data without requiring manual user input. The control unit executes algorithms that process the radar signals and autonomously identify wall characteristics, eliminating user error while maintaining reasonable device complexity through software-based automation
Solution Approach 2:
The system changes the operational parameter from manual selection to automatic determination based on radar data analysis. By processing the reflected radar signals and analyzing their characteristics, the system dynamically identifies wall type parameters, improving precision through objective measurement rather than subjective user input
2Measurement precision
If automatic wall type classification is implemented, then the measurement precision is improved, but the device complexity increases due to additional processing requirements
Solution Approach 1:
The system performs preliminary wall type classification before conducting object detection. By first analyzing the radar data to determine wall characteristics and storing this information, the system prepares the groundwork for more accurate subsequent object detection, improving overall precision while managing complexity through staged processing
Solution Approach 2:
The diagnostic process is segmented into distinct modules: wall type classification module and object detection module. This segmentation allows the system to handle complex tasks in manageable stages, where each module focuses on specific functions, improving precision through specialized processing while organizing complexity into modular components
3Measurement precision
If wall type classification results are integrated into object detection, then the measurement precision is improved, but the loss of time increases due to additional processing steps
Solution Approach 1:
The system performs wall type classification and object detection in a continuous integrated process rather than separate sequential steps. The control unit maintains continuous analysis of radar data, allowing wall type information to be immediately utilized in object detection without interruption, improving accuracy while minimizing time loss through seamless integration
Solution Approach 2:
The wall type classification and object detection functions are merged into a unified diagnostic process. By combining these functions and sharing the radar data processing pipeline, the system eliminates redundant operations and allows information from wall type classification to directly inform object detection, improving accuracy while reducing overall processing time
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
Enables precise and accurate wall diagnosis and object detection by automatically determining wall type, correcting for its influence on radar data, and integrating additional sensor data for enhanced precision.
Implementation Method 1
Receiving radar data from a radar sensor unit of the measuring device, wherein the radar data depicts a wall to be diagnosed
Data Source
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AI summary
The invention relates to a computer-implemented method (200) for operating a measuring device (100), in particular a wall diagnostic device, comprising: receiving (201) radar data (103) from a radar sensor unit (101) of the measuring device (100); carrying out (203) a wall diagnosis by carrying out an analysis of the radar data (103) and generating diagnostic results (109) by a diagnostic module (107) of the measuring device (100); and carrying out (207) an object detection of an object (113) arranged in the wall (105) by the diagnostic module (107) based on the radar data (103) and taking into account the wall type classification results of the wall type (123); and providing (209) the diagnostic results (109) of the diagnostic module (107) to a display unit (111) of the measuring device (100) for displaying the diagnostic results (109) to a user of the measuring device (100).