Electronic Threat Assessment Using Multi-Sensor Real-Time Feedback
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Solution Overview
Problem
Existing electronic threat assessment systems fail to improve safety and effectiveness for law enforcement, first responders, and military personnel by not analyzing input from various sources and providing immediate data and feedback to identify threats and deescalate non-threats.
Innovation Solution
A system comprising a processor and non-transitory computer-readable medium that detects a physical location, scans a proximate area, prioritizes identified objects, compares data to a database, and outputs notifications, utilizing sensors, artificial intelligence, and communication interfaces to provide real-time threat assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing wearable recording systems are used, then operators can record events for transparency and evidence, but safety is not improved and threat identification effectiveness remains insufficient
Solution Approach 1:
The system continuously monitors the environment through multiple sensors (audio, video, thermal) and provides real-time feedback to the operator by analyzing detected objects, their movements, and potential threats. The system identifies patterns and anomalies, delivering actionable intelligence about potential threats so operators can respond proactively rather than reactively, thereby improving both safety and threat identification effectiveness.
Solution Approach 2:
The patent replaces manual visual inspection and physical surveillance with an automated electronic threat assessment system. Sensors and processing units continuously scan the environment, automatically identify objects and potential threats, and provide alerts without requiring constant human attention or manual analysis, thus enhancing both safety monitoring and threat detection effectiveness.
2Speed
If manual threat assessment is performed, then operators have control over assessment decisions, but response time is slow and information analysis is insufficient
Solution Approach 1:
The system operates continuously, with sensors constantly monitoring the environment and the processing unit continuously analyzing data from all sensors. This uninterrupted monitoring and analysis enables the system to detect threats immediately when they occur, providing rapid response time while maintaining comprehensive information analysis through continuous data collection and processing.
Solution Approach 2:
The processing unit acts as an intermediary between the sensors and the operator. It collects, processes, and analyzes data from multiple sensors, then presents synthesized information and threat assessments to the operator. This intermediary function enables rapid response by pre-processing information and highlighting critical threats while maintaining comprehensive analysis through systematic data processing.
3Loss of information
If multiple sensors and data sources are integrated, then threat analysis comprehensiveness is improved, but system complexity increases
Solution Approach 1:
The system divides the complex task of threat assessment into separate functional modules: audio sensors, video sensors, thermal sensors, and a processing unit that integrates all inputs. Each sensor type handles specific aspects of environmental monitoring, and the processing unit systematically combines these segmented data streams to produce comprehensive threat analysis, making the overall complex system manageable through functional decomposition.
Solution Approach 2:
The processing unit serves multiple functions simultaneously: it processes data from audio sensors, video sensors, and thermal sensors; identifies objects; analyzes movements; detects patterns; and generates threat assessments. This multi-functional design consolidates complex processing tasks into a single integrated unit, maintaining comprehensive information analysis while managing system complexity through functional consolidation.
Data Source
AI summary
A system for assessing threats includes a method of detecting a physical location of the system, establish a connection to at least one database, scanning a proximate area, prioritizing a plurality of identified objects, comparing data for at least one of the identified object to data from the at least one database, and outputting at least one notification.