Drone Event Photography Capture Planning for Multi-User Coverage
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Solution Overview
Problem
Current drone technology faces challenges in efficiently capturing images in various scenarios due to regulatory complexities in drone airspace management, limited functionality in sharing images, and high operational costs, especially when multiple users need to access drone services simultaneously.
Innovation Solution
A system comprising a server device that communicates with user devices and drone devices to provide capture instructions, manage drone services, and distribute images based on user requests, proximity, and interest factors, allowing for efficient image capture and sharing across multiple users while reducing the number of drones required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple users access drone services simultaneously, then image capture coverage is improved, but operational costs increase
Solution Approach 1:
Multiple user requests are merged into a single coordinated drone operation. The server device aggregates capture instructions from multiple users and consolidates them into one flight mission, allowing a single drone to service multiple users simultaneously and reduce operational costs.
Solution Approach 2:
The drone device is designed to perform multiple functions by servicing different users with different capture requirements during the same flight operation, making the drone a universal platform that can adapt to various imaging needs without requiring separate dedicated drones for each user.
2Manufacturing precision
If capture instructions are explicitly provided by user device, then image capture precision is improved, but ease of operation deteriorates
Solution Approach 1:
The server device acts as an intermediary between the user device and drone device. It receives explicit capture instructions from the user, processes them along with other user requests, and generates optimized flight paths and capture sequences that balance precision requirements with operational efficiency.
Solution Approach 2:
The server device performs preliminary processing of capture instructions by analyzing multiple user requests beforehand and pre-planning the drone's flight path and capture sequence, so that the drone can execute precise captures without requiring real-time complex decision-making that would complicate operation.
3Adaptability or versatility
If drone services are allocated to multiple users, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system is segmented into distinct functional components: the server device handles service allocation and instruction generation, while the drone device executes captured instructions. This segmentation allows the complex task of multi-user service allocation to be managed by the server without overwhelming the drone's control systems.
Solution Approach 2:
The server device serves as an intermediary layer that manages the complexity of allocating services to multiple users, processing their requests, and generating coordinated flight instructions. This intermediary absorbs the system complexity, allowing the drone to operate with relatively simple execution logic.
Data Source
AI summary
Methods, systems, and devices are disclosed for using drone imaging to capture images. Capture instructions are provided to a drone device to aid in image capture related to events. Events may be defined by characteristics such as geographical boundary information, temporal boundary information, and participant information. In one aspect, capture instructions are determined based on subject faces appearing in images associated with a sharing pool associated with an event. In another aspect, capture instructions are determined based on factor-of-interest information and remuneration policy information. The factor-of-interest information identifies subjects of interest gathered from different user devices with corresponding weights In another aspect, a drone may be assigned to one of a plurality of events based on event opportunity scores. The event opportunity scores may be determined from users associated with events, and the factors and weights associated with those users.