Multi-mode obscured object detector with sensor fusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing hidden object detectors, such as stud-finders, are limited in detecting multiple object types behind a surface and often fail to provide accurate boundary markings, leading to time-consuming and inaccurate detection processes for builders and DIY users.
Innovation Solution
A multi-mode obscured object detector (MMOOD) system that uses a combination of capacitive sensors, AC wire sensors, and metal detectors to scan and display hidden objects, including wooden studs, electrical wires, and metal rebar, with high-resolution graphics and symbolic patterns, allowing for precise location identification and storage of scan data for later review.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single sensor type is used in existing hidden object detectors, then the device complexity is reduced, but the ability to detect multiple object types (wooden studs, electrical wires, metal rebar) is limited
Solution Approach 1:
The patent implements multi-functionality by integrating three different sensor types (capacitive sensors for wooden studs, AC wire sensors for electrical wires, and metal detectors for metal rebar) into a single detection device. Each sensor type targets a specific material category, allowing the device to universally detect multiple object types behind walls without requiring separate detection tools for each material.
Solution Approach 2:
The patent combines multiple sensor systems that would traditionally require separate devices into one integrated unit. The capacitive sensors, AC wire sensors, and metal detectors are merged into a single handheld device with unified control and display, reducing the number of separate tools users need while increasing detection versatility.
2Measurement precision
If existing hidden object detectors are used, then the detection process is simpler, but accurate boundary markings are not provided leading to time-consuming manual verification
Solution Approach 1:
The patent uses color-coded visual indicators on the display to represent different object types and boundary conditions. The system provides clear visual boundary markings with distinct colors and patterns that immediately indicate the precise location and extent of hidden objects, eliminating the need for manual verification and significantly improving measurement precision for boundary identification.
3Loss of information
If high-resolution graphics and symbolic patterns are displayed for precise location identification, then the information quality is improved, but the device complexity increases
Solution Approach 1:
The patent applies local quality by providing different display representations for different object types and locations. High-resolution graphics and symbolic patterns are used specifically at detected object locations to show precise boundaries and material types, while areas without objects receive minimal display output. This selective information presentation maintains high information quality where needed without unnecessarily complicating the overall display system.
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
The MMOOD system provides a reliable and efficient method for detecting various hidden objects behind a wall, reducing project time, increasing accuracy, and enhancing user efficiency by offering a comprehensive and precise visual representation of objects, enabling users to identify locations in real-time or later, thus improving overall project quality and reducing costs.
Implementation Method 1
an array of capacitive sensors, to detect the hidden objects
Implementation Method 2
an AC wire sensor, to detect the hidden objects
Implementation Method 3
a metal detector, to detect the hidden objects
Data Source
AI summary
a device and a method are disclosed to detect obstructed objects, usually behind a wall or other similar surface. The device may be used by dragging it across the surface of the wall to scan, detect and display the objects behind the wall. The types of hidden objects and materials they are made of vary and may include wooden or metal studs used in building construction, electrical AC or DC wires and conduits, metal rebar and the like. Each type of material may need a different type of sensor to be detected. In some examples, the device may include memory to record the objects detected and display them on the screen in a persistent manner. The objects may be displayed via graphics that are similar to the real objects that were detected. In effect, the device may display a picture of what is hidden behind the wall.