Unmanned Security Vehicle Routing for Real-Time Threat Response
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Solution Overview
Problem
Current security measures in commercial settings lack proactive and reactive capabilities to effectively deter and respond to potential threats using unmanned vehicles, which are not adequately integrated with advanced sensor systems and communication networks for real-time threat assessment and response.
Innovation Solution
An unmanned vehicle security system equipped with sensors, data analysis, route determination, and sensor management engines, connected to a network and server, that analyzes data, determines threat levels, and takes action such as altering routes, recording video, or sending alerts based on sensed information from various sources, including cameras, motion detectors, and wearable activity sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If unmanned vehicles are deployed for security surveillance, then security coverage area is improved, but system complexity increases due to integration of sensors, data analysis engines, and communication networks
Solution Approach 1:
The security system is divided into separate functional modules: unmanned vehicles for surveillance, sensor systems for data collection, data analysis engines for processing, and communication networks for coordination. Each module operates independently but contributes to the overall security coverage, allowing the system to expand coverage area without proportionally increasing overall complexity.
Solution Approach 2:
The unmanned vehicles are designed with multi-functionality, integrating surveillance cameras, motion sensors, and communication capabilities into a single platform. This allows one vehicle to perform multiple security functions simultaneously, increasing coverage area while minimizing the number of separate systems needed.
2Measurement precision
If advanced sensor systems and data analysis engines are integrated into unmanned vehicles, then threat detection precision is improved, but device complexity increases
Solution Approach 1:
Multiple sensor types (cameras, motion detectors, RFID readers) and data analysis functions are merged into integrated systems on the unmanned vehicles. The sensor management engine combines data from all sensors, and the data analysis engine processes information from multiple sources simultaneously, achieving high threat detection precision through consolidation rather than separate systems.
Solution Approach 2:
The unmanned vehicles are equipped with onboard data analysis engines that autonomously process sensor data and make security assessments without requiring constant external processing. This self-service capability allows sophisticated threat detection algorithms to run locally on each vehicle, improving detection precision while reducing the complexity burden on centralized systems.
3Loss of time
If real-time threat assessment and response capabilities are implemented, then security response time is improved, but energy consumption increases due to continuous sensor operation and data processing
Solution Approach 1:
The sensor systems and data processing operations are implemented with periodic action rather than continuous operation. Sensors activate at regular intervals to scan for threats, and data analysis engines process information in periodic batches. This approach maintains real-time threat assessment capability while significantly reducing overall energy consumption compared to continuous monitoring.
Solution Approach 2:
The system implements feedback mechanisms where sensor data and threat assessments are continuously monitored and used to adjust system behavior. When no threats are detected, the system enters lower-power states. When potential threats are identified, the system increases monitoring frequency and activates response protocols. This feedback-driven dynamic operation achieves fast response times while minimizing energy consumption during normal operation.
Data Source
AI summary
Unmanned vehicles can be terrestrial, aerial, nautical, or multi-mode. Unmanned vehicles may be used to survey a property in response to or in anticipation of a threat. For example, an unmanned vehicle may analyze information about the property and based on the information deter theft of items on the property.