Barrier-Embedded RF Motion Detector for Non-Line-of-Sight Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional motion sensors are limited by line-of-sight obstructions, visibility, sensitivity, and inability to detect characteristics like distance and velocity of moving objects, making them ineffective for comprehensive monitoring.
Innovation Solution
An implantable motion detector system using radio-frequency signals transmitted through barriers, with antennas capable of switching modes and ultra-wideband sensing circuits to estimate object characteristics like size, type, speed, location, and direction by processing time-domain output signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If line-of-sight sensors are used to detect motion, then the sensor can provide simple motion detection, but the sensor is limited by objects obstructing the line-of-sight and cannot detect non-line-of-sight motion
Solution Approach 1:
The patent introduces an intermediary medium (radio frequency signals) that can penetrate barriers and transmit motion information without requiring direct line-of-sight between sensor and target, thereby extending detection coverage while maintaining reliability
Solution Approach 2:
The patent replaces mechanical line-of-sight detection systems with electromagnetic field-based detection, substituting the physical constraint of visible light paths with penetrating radio frequency waves that can detect motion through obstacles
2Reliability
If visible motion sensors are deployed in the monitored area, then motion can be detected, but the sensors can be defeated and are visible within the monitored area
Solution Approach 1:
The patent uses radio frequency signals as an intermediary that operates invisibly through barriers, making the detection system hidden and undefeatable by conventional means while maintaining high detection accuracy
Solution Approach 2:
The patent extracts the sensor from the visible monitored space by embedding it within barriers, removing the vulnerability to tampering while preserving detection capability through penetrating electromagnetic signals
3Measurement precision
If air pressure sensors are used to detect motion, then motion can be detected through pressure perturbation, but the sensors are limited by obstructions and cannot detect very slight or slow movements
Solution Approach 1:
The patent replaces mechanical pressure-based detection with electromagnetic field-based detection, achieving superior sensitivity to slight and slow movements while overcoming obstruction limitations through signal penetration
Solution Approach 2:
The patent changes the detection parameter from mechanical pressure to electromagnetic field characteristics, enabling detection of subtle motion variations that pressure sensors cannot detect while maintaining versatility across different obstruction scenarios
4Measurement precision
If implantable pressure sensors are used, then contact pressure can be detected, but the sensors are limited by a small sensitivity area and cannot detect general movement in the monitored area
Solution Approach 1:
The patent creates a universal detection system using radio frequency signals that can detect motion across the entire monitored area through barrier penetration, eliminating the need for multiple localized sensors while maintaining detection precision
Solution Approach 2:
The patent transitions from two-dimensional contact surface detection to three-dimensional volumetric detection through electromagnetic field penetration, expanding the effective sensitivity area to cover the entire monitored space
5Ease of operation
If conventional sensors are used to detect motion, then basic motion detection is possible, but the sensors cannot detect other characteristics of a moving object such as distance to the motion and velocity of the motion
Solution Approach 1:
The patent implements feedback mechanisms that analyze reflected radio frequency signals to extract multiple motion characteristics including distance and velocity, providing comprehensive information while maintaining operational simplicity through integrated processing
Solution Approach 2:
The patent creates a multi-functional detection system that simultaneously measures basic motion presence, distance, and velocity using radio frequency signal analysis, eliminating the need for separate sensors for each parameter
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 non-line-of-sight detection of moving objects with improved sensitivity and accuracy, overcoming the limitations of traditional sensors by providing comprehensive monitoring capabilities.
Implementation Method 1
at least one antenna fixed within a barrier, the at least one antenna transmitting at least one first radio-frequency signal through the barrier to at least one volume outside the barrier
Implementation Method 2
the at least one first radio-frequency signal reflecting from at least one object in the at least one volume to produce a plurality of second radio-frequency signals
Implementation Method 3
at least one sensing circuit sensing the plurality of second radio-frequency signals, the at least one sensing circuit generating a plurality of time-domain output signals
Data Source
AI summary
According to various illustrative embodiments, a motion-monitoring system comprises at least one antenna fixed within a barrier, the at least one antenna transmitting at least one first radio-frequency signal through the barrier to at least one volume outside the barrier, the at least one first radio-frequency signal reflecting from at least one object in the at least one volume to produce a plurality of second radio-frequency signals, which are received by the at least one antenna, at least one sensing circuit sensing the plurality of second radio-frequency signals and generating a plurality of time-domain output signals, and at least one processor receiving the plurality of time-domain output signals and comparing at least one successive time-domain output signal to at least one previous time-domain output signal to estimate at least one characteristic of the at least one object, including a motion of the at least one object.