Doorbell-Triggered Drone Monitoring for Property Visitor Response
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Solution Overview
Problem
Conventional doorbell cameras have limited field of view and cannot effectively monitor or interact with individuals approaching a property, lacking the capability to dynamically respond to various events or conditions, such as identifying known persons or determining appropriate actions based on time and occupant locations.
Innovation Solution
A system that utilizes images from a doorbell camera to determine events or conditions at a property and instructs a drone to perform actions, such as navigating to the individual, guiding them, or opening communication, based on factors like occupant presence, time, and scheduled events, using facial recognition and sensor data to differentiate between known and unknown persons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a fixed doorbell camera is used to monitor property, then installation simplicity is maintained, but field of view and monitoring capability are limited
Solution Approach 1:
The system divides the monitoring function between a fixed doorbell camera (for detection and identification) and a mobile drone (for comprehensive monitoring). The doorbell camera captures images of approaching persons, while the drone provides broader field of view and dynamic monitoring capabilities, segmenting the surveillance task across multiple devices with different strengths.
Solution Approach 2:
The doorbell camera serves as an intermediary that triggers drone deployment. It detects persons approaching the property and sends images to the system, which then activates the drone to provide enhanced monitoring. This intermediary approach allows the simple fixed camera to initiate complex monitoring only when needed.
2Adaptability or versatility
If a drone is deployed to provide comprehensive monitoring, then field of view and interaction capability are improved, but system complexity increases
Solution Approach 1:
The system employs dynamic drone deployment based on real-time conditions. The drone is activated only when the doorbell camera detects a person approaching and determines drone deployment is appropriate. The drone can dynamically adjust its position, approach different persons, and provide context-aware interactions based on occupancy status and scheduled events.
Solution Approach 2:
The system changes operational parameters based on detected conditions. When a person is detected, the system evaluates occupancy status, time of day, and scheduled events to determine whether to deploy the drone, what actions the drone should take (monitoring, greeting, guiding), and how to adjust communication strategies. This parameter-based decision-making enables versatile response while managing complexity through conditional logic.
3Reliability
If facial recognition and sensor data analysis are used to identify persons, then security and customization are improved, but processing time and computational requirements increase
Solution Approach 1:
The doorbell camera continuously captures images of persons approaching the property before they reach the door. This preliminary action allows the system to analyze facial features and identify persons in advance, determining whether they are known or unknown before they arrive at the property, thus reducing processing time at the critical moment.
Solution Approach 2:
The system uses rapid image processing to quickly compare captured facial features against stored data. By using efficient recognition algorithms and pre-processing images as persons approach, the system rushes through the identification process quickly, minimizing the time from detection to decision-making about drone deployment and interaction strategy.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for property management and monitoring using a drone. In some implementations, images of an outside area corresponding to a property are obtained. From the images, it is determined that a person is approaching the property. A state of the property is identified. An action to perform by a drone is determined based on the images and a state of the property. The drone is instructed to navigate to the person and perform the action.