Autonomous Security Drones for False Alarm Verification
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Solution Overview
Problem
Conventional security systems experience high rates of false alarms and privacy risks due to their reliance on static sensors and lack of integration with existing systems, leading to inefficient resource allocation and potential security breaches.
Innovation Solution
Deployment of autonomous aerial vehicles equipped with cameras and sensors to verify alarm events, generate physical maps of facilities, and communicate with existing systems to confirm or dismiss alarms, thereby reducing false alarms and enhancing security integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static sensors are used for security monitoring, then the system is simple to install and operate, but the system produces high rates of false alarms and cannot detect structural or functional variations
Solution Approach 1:
The patent transitions from static sensors to dynamic mobile robots that can move throughout the facility. These robots equip sensors and cameras that actively scan and monitor different locations, enabling the system to adapt to changing conditions and detect structural or functional variations that static sensors would miss, thereby reducing false alarms while managing complexity through automated mobility.
Solution Approach 2:
The patent introduces mobile robots as intermediary devices between the monitoring system and the facility environment. These robots serve as mobile platforms that carry sensors, cameras, and processing units, acting as intermediaries that collect data from various locations and communicate with central or cloud-based systems, thereby improving alarm accuracy without requiring direct complex integration of all sensors into a single static system.
2Reliability
If cameras and microphones are mounted for continuous monitoring, then security coverage is improved, but privacy risks and vulnerability to hacking increase
Solution Approach 1:
The patent implements periodic or on-demand monitoring rather than continuous operation. Mobile robots patrol facilities at scheduled intervals or respond to specific triggers, activating cameras and microphones only when needed. This approach maintains security coverage by regularly scanning the facility while reducing privacy risks and hacking vulnerabilities by limiting the time windows during which sensitive data is captured and transmitted.
Solution Approach 2:
The patent enables mobile robots to autonomously navigate, monitor, and assess facility conditions without requiring constant human oversight or continuous data transmission. The robots process data locally and only communicate essential information, reducing the attack surface for hackers and minimizing privacy exposure while maintaining effective security coverage through autonomous self-monitoring capabilities.
3Loss of information
If security systems are installed in a static manner, then installation is straightforward, but the systems cannot determine when structural or functional variations have occurred
Solution Approach 1:
The patent employs mobile robots that dynamically move throughout the facility to monitor for structural or functional variations. These robots use sensors, cameras, and LIDAR to scan environments and compare current conditions against baseline data, automatically detecting changes such as new objects, structural modifications, or functional alterations without requiring complex reinstallation or manual configuration.
Solution Approach 2:
The patent implements baseline mapping and condition recording during initial deployment. Mobile robots perform preliminary scans to establish reference data about the facility's normal state, enabling future comparisons that automatically detect variations. This preliminary action simplifies ongoing operation by providing a reference framework that the system uses to identify changes without requiring complex real-time analysis or frequent manual updates.
4Reliability
If resources are dispatched in response to all alarm reports, then no actual events are missed, but resources are wasted on false alarms and become unavailable for real threats
Solution Approach 1:
The patent implements feedback loops where mobile robots verify alarm conditions before triggering resource dispatch. When a sensor or camera detects a potential threat, the system activates additional mobile robots or sensors to confirm the alarm's validity. This feedback mechanism filters out false alarms by requiring verification, ensuring that resources are dispatched only for confirmed threats while maintaining high reliability in event detection through multi-layered verification.
Data Source
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AI summary
An aerial vehicle is programmed or configured to respond to reports of events or conditions within spaces of a facility. The aerial vehicle travels to a location of a reported event or condition and captures data using onboard sensors. The aerial vehicle independently determines whether the reported event or condition is occurring, or is otherwise properly addressed by resources that are available at the location, using images or other data captured by the onboard sensors. Alternatively, the aerial vehicle transmits a request for additional resources to be provided at the location, where necessary. A map of the location generated based on images or other data captured by the onboard sensors may be utilized for any purpose, such as to make one or more recommendations of products that are appropriate for use at the facility.