3D Volumetric Scanning Security Detector for Intrusion Detection
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Solution Overview
Problem
Conventional security systems often fail to distinguish between true security threats and false positives, such as small animals or moving objects, and can be easily bypassed by avoiding sensor beams or covering detectors.
Innovation Solution
A scanning security system that uses a transmitter and detectors to illuminate and reflect energy across a space, generating three-dimensional maps over time intervals to identify changes and determine potential security threats, distinguishing between true threats and false positives based on movement rate, height, and location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simple motion sensors and light beams are used, then the system is simple and inexpensive, but it cannot distinguish false positives from true security threats
Solution Approach 1:
The patent transitions from 2D beam detection to 3D volumetric mapping by introducing depth measurement through time-of-flight calculations. The security system creates three-dimensional maps of the monitored space, adding a spatial dimension that enables differentiation between objects at different distances and positions, thereby improving threat detection accuracy while maintaining reasonable system complexity.
Solution Approach 2:
The system measures multiple parameters simultaneously (distance, position, movement rate, height) rather than relying on a single detection parameter. By analyzing changes in these parameters over time and comparing them against threshold values, the system can distinguish between false positives and genuine threats, significantly improving measurement precision.
2Reliability
If simple light beam sensors are used, then the system is inexpensive, but it can be easily defeated by avoiding beams or covering detectors
Solution Approach 1:
The system employs volumetric 3D mapping instead of planar beam detection, creating multiple detection planes and depth layers throughout the monitored space. This dimensional expansion makes it difficult for intruders to bypass detection, as they would need to avoid detection from multiple angles and distances simultaneously, thereby enhancing reliability against tampering.
Solution Approach 2:
The system continuously builds and updates baseline 3D maps of the environment before intrusion detection is activated. This preliminary mapping establishes normal conditions and object positions, enabling the system to detect deviations and potential tampering attempts more effectively, improving reliability without requiring overly complex real-time response mechanisms.
3Measurement precision
If continuous scanning is performed, then detection accuracy is improved, but energy consumption increases
Solution Approach 1:
The system performs scanning in periodic intervals rather than continuous operation. Energy consumption is optimized by activating the energy source and detectors only during scheduled scan cycles, while maintaining detection precision through strategic timing of these periodic measurements and comparing results across intervals to detect changes.
Solution Approach 2:
The system performs scanning at a level of detail exceeding minimum requirements during critical periods, then reduces scanning intensity during low-risk periods. This partial action approach maintains high detection accuracy when needed while conserving energy during periods when full-resolution scanning is less critical, balancing precision and energy consumption.
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
Effectively identifies and differentiates between actual security threats and false positives, reducing false alarms and enhancing the system's ability to detect intrusions accurately.
Implementation Method 1
illuminating at least a portion of the space with energy from an energy source at an illumination angle, such that the energy is reflected from a surface in the space
Implementation Method 2
calculating a distance from the surface to the energy source based on the incident angle
Data Source
AI summary
A method of identifying a potential security threat in a space. A first scan of the space is performed during a first time interval by illuminating at least a portion of the space with energy from an energy source at an illumination angle, such that the energy is reflected from a surface in the space. An incident angle of the reflected energy is detected with a detector located at a known distance from the energy source and a distance from the surface to the energy source is calculated based on the incident angle. The steps are repeated for a plurality of different locations in the space. A first map of the space is generated from the first scan, and a second map is generated from a second scan of the area. The maps are compared to determine a change in the space and to determine if a potential security threat is present.