Radar Wall Diagnosis for Object Detection and Classification
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Solution Overview
Problem
Existing wall diagnostic devices require additional sensors for object recognition, leading to a complex and less streamlined design.
Innovation Solution
A computer-implemented method using a diagnostic module that performs object detection and classification solely based on radar data from a radar sensor unit, eliminating the need for additional sensors and enabling wall type classification and object depth determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional sensors are used for object recognition, then object detection accuracy is improved, but device complexity increases
Solution Approach 1:
The radar sensor unit is designed to perform multiple functions: it detects both wall structures and objects within the wall, and provides data for both wall type classification and object recognition. This multi-functional approach eliminates the need for separate sensors while maintaining detection accuracy through advanced signal processing and machine learning algorithms.
Solution Approach 2:
The patent combines wall diagnosis and object detection functions into a single integrated system using one radar sensor unit. The diagnostic module processes radar data to simultaneously determine wall characteristics and detect objects, merging what would traditionally require separate sensing systems into a unified approach.
2Adaptability or versatility
If multiple sensors are integrated for comprehensive wall diagnosis, then diagnostic capability is improved, but ease of manufacture deteriorates
Solution Approach 1:
The radar sensor unit serves multiple diagnostic purposes including wall type identification, object detection, and depth measurement. The single sensor system provides comprehensive diagnostic capability through advanced signal processing, making the device easier to manufacture compared to integrating multiple specialized sensors.
3Measurement precision
If additional sensors are used for wall diagnosis, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges wall structure analysis and object detection into a single radar-based system. The diagnostic module processes radar reflections to simultaneously characterize wall materials and detect embedded objects, achieving high measurement precision without requiring multiple separate sensing systems.
Solution Approach 2:
The system uses machine learning algorithms that analyze multiple parameters from the radar data (reflection strength, time of flight, frequency characteristics) to accurately determine both wall properties and object characteristics. This parameter-based approach enables precise diagnosis using a single sensor type.
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
This approach allows for a more streamlined design by relying solely on radar data for object detection, classification, and wall type determination, providing precise and efficient wall diagnostics.
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), wherein the radar data (103) depicts a wall (105) to be diagnosed; carrying out (203) a wall diagnosis by carrying out an analysis of the radar data (103) and providing diagnostic results (109) by a diagnostic module (107) of the measuring device (100), wherein the wall diagnosis comprises: carrying out (205) an object recognition of an object (113) arranged in the wall (105) by the diagnostic module (107), wherein the object recognition comprises object detection and object classification;and providing (207) 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), wherein the diagnostic results (109) comprise at least one object position (115) in the wall (105) and one object type (117) of the object (113);