Sensor Data and Video Frame Integration for Threat Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current surveillance systems are primarily punitive in nature and lack preventative capabilities, failing to effectively detect and respond to potential security threats such as terrorist activities or bio-hazardous materials, with existing sensor technologies not efficiently managing and analyzing data to prevent catastrophic events.
Innovation Solution
A sensor-based detection system integrated with surveillance footage, utilizing a controller to render sensor readings and visual data on a display device, allowing for historical and real-time data analysis, and enabling playback functionality to detect and track potential threats, thereby transforming the system into a preventative and punitive tool.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor-based detection systems are implemented to detect security threats, then the ability to detect and respond to potential threats is improved, but the system complexity and data management requirements increase
Solution Approach 1:
The patent combines sensor-based detection systems with surveillance footage integration and playback functionality into a unified security system. The controller merges sensor data with visual surveillance data, allowing correlated analysis of environmental sensor readings and video feeds to detect security threats more reliably while managing complexity through integrated architecture.
Solution Approach 2:
The security system is designed to perform multiple functions: detecting security threats through sensors, capturing and storing surveillance footage, playing back historical data for analysis, and providing real-time monitoring. This multi-functional approach allows a single system to address various security needs without requiring separate specialized systems for each function.
2Speed
If real-time sensor data and surveillance footage are integrated for analysis, then the responsiveness to security threats is improved, but the data processing and storage requirements increase
Solution Approach 1:
The system pre-captures and stores surveillance footage in chronological order before threats occur, and maintains historical sensor data logs. When analyzing security events, the controller can retrieve pre-stored footage and sensor readings corresponding to the threat timeframe, eliminating the need to process continuous real-time data streams and reducing computational burden during threat response.
Solution Approach 2:
The system adds the temporal dimension by organizing and storing surveillance footage and sensor data in chronological sequences with playback functionality. This allows operators to review historical data at different time points, transforming the analysis from instantaneous real-time processing to time-expanded review, thereby reducing the immediate data processing burden while maintaining comprehensive monitoring capability.
3Loss of information
If playback functionality is added to analyze historical sensor data and footage, then the analytical capability is improved, but the device complexity increases
Solution Approach 1:
The controller serves as an intermediary component that manages both real-time data acquisition and historical data playback functions. It mediates between the sensor inputs, surveillance footage storage, and the display interface, coordinating the retrieval and presentation of historical data without requiring separate dedicated hardware for playback functionality, thus managing complexity through centralized control.
4Area of stationary object
If the system monitors multiple sensors and locations, then the coverage area is improved, but the data management and analysis complexity increases
Solution Approach 1:
The system divides the monitoring coverage into discrete sensor locations and surveillance zones, each with its own data stream. The controller segments the overall data management by organizing footage and sensor readings according to location and time, allowing independent analysis of each zone while maintaining comprehensive system-wide monitoring capability.
Data Source
AI summary
A system may include a sensor a visual capturing device, and a controller. The sensor may be configured to measure a value associated with an input. The visual capturing device may be configured to capture visual data. The controller may be configured to cause the measured value and the captured visual data to be rendered on a display device simultaneously.