Drone Image Capture Using Social Graph Instructions
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Solution Overview
Problem
Current technologies face challenges in efficiently capturing images in various situations, such as inhospitable climates or inconvenient times, and in effectively managing drone airspace for mass utilization.
Innovation Solution
A system that uses drones to capture images, with capture instructions provided by a server, which can include information on subject faces, geographical areas, and temporal information. The system also includes a drone device registry for pairing user devices with available drones, facilitating image sharing, and optimizing drone service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a single drone services multiple users, then cost is reduced and resource utilization is improved, but device complexity and coordination requirements increase
Solution Approach 1:
A server acts as an intermediary between multiple user devices and a single drone device. The server receives capture instructions from multiple users, processes them, and generates coordinated capture instructions for the drone. This intermediary architecture enables one drone to efficiently service multiple users without requiring complex peer-to-peer coordination between all devices.
Solution Approach 2:
The drone device is designed to perform multiple functions by serving different users with different capture requirements. The system allows a single drone to capture images for multiple users by processing diverse capture instructions (including subject faces, geographical areas, and temporal information) from different user devices, making the drone a universal imaging resource.
2Ease of operation
If capture instructions are inferred implicitly from social network information, then ease of operation is improved, but loss of information may increase
Solution Approach 1:
The system performs preliminary actions by gathering social network information (such as event data, participant lists, and location information) in advance of the actual image capture. This pre-collected information is then used to generate capture instructions automatically, reducing the need for users to manually specify every detail while maintaining adequate capture precision for the intended purpose.
Data Source
AI summary
One technique for operating a drone device to capture an image based on capture instructions comprises receiving capture instructions determined from social graph information from a social network, the capture instructions identifying one or more subject faces corresponding to one or more social network users identified in the social graph information; and capturing an image including the one or more subject faces based on the capture instructions. Another technique for operating a drone device to capture an image based on capture instructions comprises receiving capture instructions determined from social graph information from a social network, the capture instructions identifying geographic locations of one or more social network users identified in the social graph information; and capturing an image at a geographic location of the geographic locations included in the capture instructions.


