Drone Video Overlays for Faster Property Alarm Verification
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Solution Overview
Problem
Conventional monitoring systems face challenges in accurately verifying whether a detected alarm event at a property is real or false, often relying on manual communication with occupants, which can be inefficient and prone to errors.
Innovation Solution
A monitoring system that incorporates sensors, drones equipped with cameras, and a monitor control unit to generate graphical overlays on video feeds, allowing for real-time verification of alarm events by providing navigational guidance to drone pilots and enhancing the accuracy of alarm verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual communication methods are used to verify alarm events, then system complexity is reduced, but verification accuracy and efficiency deteriorate
Solution Approach 1:
The patent combines multiple verification methods (sensor data analysis, drone video feed analysis, and communication with occupants) into a unified alarm verification system. The monitor control unit integrates data from motion sensors, environmental sensors, and drone-captured images to comprehensively determine whether an alarm is genuine, thereby improving verification accuracy while distributing system complexity across multiple coordinated components.
Solution Approach 2:
The patent introduces a drone as an intermediary device that captures video feeds and transmits them to the monitor control unit. This intermediary enables remote visual verification of alarm events without requiring direct physical presence or complex manual investigation, thereby improving verification reliability while keeping the overall system architecture manageable through modular design.
2Productivity
If manual communication with occupants is used, then device complexity is minimized, but verification time increases
Solution Approach 1:
The patent employs motion sensors and environmental sensors that continuously monitor the property before an alarm event occurs. When an alarm is triggered, the system has already captured relevant sensor data and can immediately retrieve pre-recorded video feeds from drones, eliminating the need for time-consuming manual investigation and enabling rapid verification.
Solution Approach 2:
The system implements a feedback mechanism where sensor data and drone video feeds are continuously analyzed by the monitor control unit. This real-time feedback enables the system to quickly determine whether an alarm is genuine and automatically initiate appropriate responses, significantly reducing verification time compared to manual communication methods.
3Measurement precision
If automated sensor monitoring is implemented, then verification accuracy improves, but system complexity increases
Solution Approach 1:
The patent divides the monitoring system into distinct functional segments: motion sensors for detecting movement, environmental sensors for monitoring conditions, drones for visual verification, and a monitor control unit for data integration. Each segment performs a specific function with high precision, while the overall system complexity is managed through modular architecture and clear interface definitions between components.
Data Source
AI summary
A monitoring system that is configured to monitor a property is disclosed. The monitoring system includes a sensor that is configured to generate sensor data that reflects an attribute of a property. The monitoring system further includes a drone that generates image data, location data, and orientation data. The monitoring system further includes a monitor control unit. The monitor control unit is configured to receive the sensor data, the location data, and the orientation data. The monitor control unit is configured to determine that an event has occurred at the property and a location of the event within the property. The monitor control unit is configured to generate a graphical overlay based on the event, the location data, and the orientation data. The monitor control unit is configured to generate a graphical interface. The monitor control unit is configured to output the graphical interface.