Threat Detection System Using Multi-Modal Signal Analysis
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Solution Overview
Problem
Existing systems lack an effective method to detect and respond to threat events in real-time across crowded places, such as sports venues, shopping areas, and transportation systems, where attacks or emergencies can occur, leading to potential delays in alerting authorities and ensuring safety.
Innovation Solution
A computing system that monitors signals from various devices, detects threat indicators through video, audio, infrared, and biometric signals, analyzes the probability of a threat event, and selectively transmits alerts to appropriate authorities or personnel, such as law enforcement or emergency responders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple types of signals are monitored and analyzed to detect threat indicators, then the reliability of threat detection is improved, but the device complexity increases
Solution Approach 1:
The system segments the complex threat detection task into distinct signal processing modules, each handling specific signal types (video, audio, infrared, biometric). This modular segmentation allows the system to process multiple signal types reliably while managing complexity through organized, independent processing units that can be maintained and updated separately.
Solution Approach 2:
The computing system is designed with multi-functional capabilities to handle diverse signal types (video, audio, infrared, biometric) through a unified architecture. This universal approach consolidates multiple detection functions into a single system, improving overall reliability while avoiding the complexity of separate dedicated systems for each signal type.
2Measurement precision
If probability analysis is performed on multiple signals to determine threat events, then the measurement precision of threat assessment is improved, but the loss of time increases
Solution Approach 1:
The system performs preliminary processing on incoming signals by extracting key features and pre-calculating probability indicators before full threat analysis is required. This preliminary action prepares data in advance, enabling faster and more precise threat probability assessment when actual threats are detected, without sacrificing detection speed.
Solution Approach 2:
The system implements a multi-level analysis approach where obvious threats are quickly identified and processed through expedited pathways, skipping unnecessary analysis steps. This allows the system to maintain high measurement precision for complex threats while rapidly processing simpler cases, reducing overall time loss.
Data Source
AI summary
One or more computing devices, systems, and/or methods are provided. One or more first signals received from one or more first devices may be monitored. One or more first threat indicators within a first signal of the one or more first signals may be detected. One or more second signals may be analyzed to determine a probability of a threat event. One or more second devices of a plurality of devices may be selected, based upon the probability, for transmission of one or more messages associated with the threat event.