Automated Security Response System for Unauthorized Event Detection
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Solution Overview
Problem
Conventional security systems lack the ability to automatically detect and respond to unauthorized events in complex spaces with multiple individuals, leading to inefficient and generic alerts that may increase risk to people and security of information.
Innovation Solution
A system utilizing sensors to collect data on individuals' movements and biometric characteristics, which feeds into an automated response subsystem to detect and tailor responses to specific events, including tracking potential bad actors and adjusting security protocols of devices like ATMs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security systems use generic alarms to detect unauthorized events, then security personnel can be alerted, but the response is delayed and inefficient with limited information for tailored responses
Solution Approach 1:
The system segments the detection process into multiple independent analysis components: motion pattern analysis, biometric characteristic analysis, behavioral analysis, and contextual analysis. Each component processes specific aspects of sensor data independently and contributes to the overall event characterization, enabling parallel processing and faster response while maintaining high reliability through comprehensive analysis.
Solution Approach 2:
The system performs preliminary actions by continuously analyzing sensor data and characterizing events in real-time before security personnel need to respond. The automated response subsystem proactively identifies unauthorized events, characterizes them with relevant details, and initiates appropriate responses without waiting for generic alarm triggers, thereby reducing response time while maintaining reliable detection.
2Adaptability or versatility
If security systems provide generic alerts without specific event information, then implementation is simple, but the ability to provide tailored responses is limited
Solution Approach 1:
The automated response subsystem acts as an intermediary between sensor data collection and security personnel response. It processes raw sensor data, characterizes events with relevant details (location, type, severity, involved individuals), and translates this into actionable information for tailored responses. This intermediary layer adds adaptability without requiring direct complex integration between all system components.
Solution Approach 2:
The system performs self-service by automatically characterizing events and determining appropriate responses without requiring manual analysis or intervention. The automated response subsystem independently analyzes sensor data, identifies unauthorized events, and initiates tailored responses based on pre-defined protocols, reducing the need for complex human decision-making processes while enhancing adaptability.
3Measurement precision
If automated detection systems are deployed in complex spaces with multiple people moving and interacting, then continuous monitoring is possible, but detecting specific unauthorized events becomes more difficult
Solution Approach 1:
The system applies local quality by analyzing sensor data in the context of specific locations and individual behaviors within the complex space. Instead of treating the entire space uniformly, it characterizes events based on local conditions (specific zones, individual motion patterns, contextual relationships between people and objects), enabling precise detection of unauthorized events even amidst normal activity in complex environments.
4Extent of automation
If security systems wait for manual alarm activation or access point monitoring, then system complexity is reduced, but the ability to automatically detect and respond to events is limited
Solution Approach 1:
The automated response subsystem serves multiple functions: it continuously monitors sensor data, characterizes events, identifies unauthorized activities, and initiates responses. This multi-functional approach enables high automation without requiring separate specialized systems for each function, managing complexity through a unified automated response platform that handles diverse security scenarios.
Data Source
AI summary
A system includes a plurality of sensors distributed about a space. Each sensor generates sensor data associated with properties of one or more people in the space. A gateway device receives the sensor data from each of the plurality of sensors and provides the sensor data to an automated response subsystem over a network. The automated response subsystem receives the sensor data. A first feature value is determined based on the received sensor data. An event score is determined based on the first feature value. The event score is compared to predefined response criteria. Based on the comparison of the event score to the predefined response criteria, an actionable event is detected, and an automated response to initiate for the detected actionable event is identified. One or both of an alert and instructions are provided in order to initiate the automated response.