Automated Security Tracking via Sensor Segmentation
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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 people, leading to inefficient and generic alerts that may increase risk to individuals and security of information.
Innovation Solution
A system utilizing sensors to collect data on people's movements and biometric characteristics, which feeds into an automated response subsystem to detect unauthorized events and initiate tailored responses, including tracking and adjusting security protocols, without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security systems use generic alarm alerts, then the system complexity is low, but the security effectiveness and response efficiency deteriorate
Solution Approach 1:
The security system is segmented into multiple independent modules: sensor array for data collection, feature extraction module for analysis, event detection engine for identification, and response subsystem for action. Each module performs a specific function, allowing the system to achieve high security effectiveness through specialized processing while managing complexity through modular design.
Solution Approach 2:
The system implements dynamic response strategies that adapt to different event types and severity levels. Rather than a static generic alarm, the system dynamically selects and executes appropriate response actions based on real-time event characteristics, improving security effectiveness while maintaining manageable complexity through conditional logic.
2Reliability
If security systems provide detailed automated responses, then the security effectiveness improves, but the difficulty of detecting and measuring unauthorized events increases
Solution Approach 1:
The system performs preliminary feature extraction and event classification before executing detailed responses. By pre-processing sensor data to identify key characteristics and categorize events, the system reduces the complexity of subsequent detection and measurement tasks while maintaining high security effectiveness through informed response decisions.
Solution Approach 2:
The system introduces an intermediate event classification layer between raw sensor data and detailed response execution. This intermediary layer translates complex sensor inputs into standardized event types, making detection and measurement more manageable while enabling sophisticated automated responses based on the classified event characteristics.
3Reliability
If security systems require user intervention for alerts, then the system complexity is low, but the response time and security effectiveness deteriorate
Solution Approach 1:
The security system is designed to autonomously detect events, classify them, and execute appropriate responses without requiring human intervention. The system self-manages the entire security workflow from sensor data collection through to response execution, dramatically improving response time and security effectiveness while managing automation complexity through modular design and pre-programmed response protocols.
Solution Approach 2:
The system implements automated feedback loops where response actions are automatically adjusted based on event outcomes and sensor data. This closed-loop control enables the system to learn from previous events and improve its detection and response capabilities over time, enhancing security effectiveness while maintaining efficient automation through adaptive algorithms.
4Area of stationary object
If security systems monitor multiple people in complex spaces, then the security coverage improves, but the device complexity and data processing requirements increase
Solution Approach 1:
The monitoring space is segmented into multiple zones with dedicated sensor arrays and processing units. Each zone independently processes local events and characteristics, reducing the complexity of global data processing while maintaining comprehensive security coverage. The segmented architecture allows parallel processing of multiple zones simultaneously.
Solution Approach 2:
The system employs universal sensor types and processing algorithms that can be deployed across multiple zones and spaces. This multi-functional approach allows the same hardware and software components to monitor different areas, expanding security coverage without proportionally increasing system complexity through repeated specialized designs.
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. An automated response subsystem receives the sensor data. An unauthorized activity performed by a first person in the space is detected based on at least a portion of the received sensor data. In response to detecting the unauthorized activity, tracking instructions are transmitted that identify the first person associated with the unauthorized activity. A tracking device receives the tracking instructions. A device associated with the first person is detected. Over a period of time, the tracking device sends queries to the device and receives corresponding responses from the device. The tracking device determines positions of the device within the space over the period of time.