Multi-Sensor Threat Detection Platform for Bio-Health and Physical Security
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Solution Overview
Problem
Conventional security systems fail to adequately detect bio-health and physical threats in a timely manner, leading to increased vulnerability in protected areas such as workplaces and marketplaces, due to reliance on single parameters like body temperature and visible surveillance, resulting in false readings and ineffective response mechanisms.
Innovation Solution
A smart, pivotable detection and notification platform that uses a combination of sensors and processors to perform initial threat detection scans, retrieve and confirm threat data, and initiate a threat response procedure, including scanning with passive and active sensors, and prescreening devices to identify bio-health and physical threats, and direct appropriate responses based on governmental or organizational guidelines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional security systems use single parameter detection (e.g., body temperature), then the system is simple and fast, but detection accuracy deteriorates and false readings increase
Solution Approach 1:
The detection system is segmented into multiple independent sensor modules (thermal sensors, optical sensors, microwave sensors, gas sensors) that each detect specific parameters. This segmentation allows parallel processing of multiple detection channels without compromising speed, while the combined results improve accuracy by cross-validating findings across different measurement types.
Solution Approach 2:
The security system is designed with multi-functionality to detect various threat types (biological, chemical, radiological, nuclear, explosive) using a unified platform of diverse sensors. This universal approach enables the system to maintain high detection speed across different threat categories while improving accuracy through comprehensive multi-parameter assessment rather than relying on a single detection method.
2Ease of manufacture
If conventional security systems rely on visible surveillance (CCTV), then the system is simple to implement, but it cannot detect concealed threats and responds too late
Solution Approach 1:
The system performs preliminary detection actions through passive sensors positioned throughout the protected area that continuously monitor for threats before they become visible or actionable. Thermal, optical, and gas sensors detect anomalies in advance, triggering alerts before conventional visual surveillance would become relevant, thus eliminating the time loss associated with reactive CCTV monitoring.
Solution Approach 2:
The system replaces mechanical visual surveillance (CCTV requiring active viewing and manual analysis) with automated sensor fields that passively detect threats through physical principles (thermal radiation, electromagnetic waves, gas composition). This substitution eliminates the time delay inherent in mechanical systems while maintaining ease of implementation through automated, sensor-based detection rather than complex mechanical inspection systems.
3Measurement precision
If security systems use multiple sensor layers, then detection accuracy improves, but system complexity and operational impact increase
Solution Approach 1:
Multiple sensor layers are merged into a unified integrated system that combines thermal, optical, microwave, and gas sensors with centralized processing and coordination. This merging approach maintains high detection accuracy through multi-parameter assessment while reducing operational complexity by providing centralized control and automated data fusion, eliminating the need for separate manual monitoring of each sensor layer.
Solution Approach 2:
The sensor system is designed with self-service capabilities where sensors automatically detect, process, and respond to threats without requiring manual intervention. The system self-regulates by continuously monitoring environmental conditions and automatically triggering appropriate responses based on detected anomalies, thereby maintaining high detection accuracy while minimizing the operational burden and complexity management requirements.
4Loss of time
If security systems use automated detection, then response time improves, but false alerts and erroneous notifications increase
Solution Approach 1:
The automated detection system incorporates feedback mechanisms where sensor data is continuously analyzed and cross-validated against established thresholds and patterns. The system provides feedback loops that allow automated processors to learn from previous detections and adjust sensitivity levels, reducing false alerts while maintaining rapid response time through continuous automated monitoring and intelligent decision-making algorithms.
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
Provides advanced situational awareness for early warning and preemptive interdiction, reducing the risk of harm by accurately detecting and mitigating bio-health and physical threats, such as viral infections, concealed weapons, and hazardous materials, through a multi-parameter assessment and automated response system.
Implementation Method 1
thermal guns and monitors were widely used during the pandemic to identify individuals with temperatures exceeding 100.4° F.
Implementation Method 2
scanning the entrant with a plurality of sensors to derive parameters that correspond to the potential threat
Data Source
AI summary
Systems and methods are contemplated for preventing an entrant and a threat associated therewith from accessing a protected area. An automated clearance procedure may be performed, which may comprise scanning the entrant with a plurality of sensors to obtain measurements, from which parameters corresponding to bio-health risk factors and/or concealed weapon identification may be derived. The clearance procedure may further comprise obtaining information from the entrant and/or retrieving information previously compiled therefrom. From this data, the identity of the threat and the associated risk may be found, which may be carried out via processors within a local network hub and/or a cloud-based system or both. From this threat data, an automated threat response procedure may be carried out, which may comprise denying the entrant access to the protected area, at least partially containing the entrant in a clearance entry point, and/or notifying one or more agencies of the threat.