Opaque Surface Scanner Using Capacitive Pairing to Cut False Positives
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Solution Overview
Problem
Conventional scanners inaccurately detect objects behind opaque surfaces, often mistaking electrical wires or metal pipes for studs, posing safety hazards and risking damage.
Innovation Solution
A scanner system utilizing a pair of capacitive sensors to analyze signal strength differences to identify and differentiate regions of objects behind an opaque surface, employing dynamic calibration to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional scanners use individual sensors (capacitive, metal, current) to detect objects behind opaque surfaces, then the scanning process is simple, but the detection accuracy deteriorates due to false positives identifying wires or pipes as studs
Solution Approach 1:
The patent combines multiple sensor types (capacitive sensor, metal sensor, and current sensor) into a single scanning system that operates simultaneously. The controller integrates data from all three sensors to make comprehensive object identification, eliminating false positives by cross-validating sensor readings before classifying objects as studs, wires, or pipes.
Solution Approach 2:
The scanning system is designed with multi-functional capability to detect various object types (studs, electrical wires, metal pipes) using a unified approach. The controller performs multiple detection functions simultaneously - measuring capacitance, metal presence, and current flow - to universally identify different objects behind opaque surfaces with high accuracy.
2Reliability
If conventional scanners operate sensors individually or separately, then the device complexity is low, but the reliability deteriorates due to false reports causing safety hazards
Solution Approach 1:
The controller continuously monitors and compares readings from all three sensors during the scanning process. It uses feedback mechanisms to validate detections - for example, confirming a potential stud detection by verifying consistent signals across capacitive, metal, and current sensors before reporting the object, thereby eliminating false positives and improving reliability.
Solution Approach 2:
The system performs preliminary sensor calibration and baseline establishment before actual object detection. The controller pre-configures sensor parameters and establishes normal operating ranges, enabling reliable real-time detection by comparing current readings against pre-determined thresholds and patterns.
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
Accurately detects and classifies objects like studs, pipes, and wires, reducing false positives and minimizing safety risks by avoiding damage to electrical or water pipes.
Implementation Method 1
one or more capacitive sensors 108
Data Source
AI summary
Aspects of the present invention include a system and method for detecting one or more objects detected behind an opaque surface, comprising collecting, by a plurality of sensors of a scanner, sensor data of the one or more objects behind an opaque surface; identifying, by one or more processors of the scanner, characteristics of signal strengths detected by a pair of capacitive sensors using the sensor data, including concurrent behaviors of a first capacitive sensor and a second capacitive sensor in the pair of capacitive sensors; analyzing, by the one or more processors, the characteristics of signal strengths detected to determine different regions of the one or more objects behind the opaque surface; and informing a user, by the one or more processors via a user interface of the scanner, of the different regions of the one or more objects behind the opaque surface.