Drone Camera Control for Original Video Style Reproduction
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Solution Overview
Problem
Current drone technologies lack the capability to replicate the visual style and composition of original videos, leading to indiscriminate use and safety issues due to insufficient regulations and limited operational modes, with users seeking more advanced image and video capturing features.
Innovation Solution
A user equipment and system that analyzes the enlargement magnification, view angle, and composition of a first video to generate control signals for a drone's camera and movement, allowing it to photograph a second subject with similar characteristics, using AI learning to adjust settings like zoom, illuminance, and location for precise replication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional drone control methods are used, then the drone can perform basic flight operations, but it cannot replicate the visual style and composition of original videos
Solution Approach 1:
The patent applies the copying principle by analyzing the characteristics of an original video (enlargement magnification, view angle, composition) and using these analyzed parameters to control the drone's camera to reproduce similar visual content. The system copies the visual style and composition from the original video to create reproduction videos with identical or similar characteristics.
Solution Approach 2:
The patent applies preliminary action by pre-analyzing the original video to extract key parameters (enlargement magnification, view angle, composition) before the drone begins filming. This preliminary analysis enables the drone to automatically adjust its camera settings and flight path to match the original video's characteristics without real-time manual intervention.
2Reliability
If drones are used indiscriminately without advanced control features, then operational simplicity is maintained, but safety issues and regulatory compliance problems arise
Solution Approach 1:
The patent applies self-service by enabling the drone to autonomously analyze video characteristics and automatically adjust its own camera settings, zoom levels, and flight path based on the analyzed parameters. The drone performs self-control functions without requiring complex manual operations from the user, thereby improving safety while maintaining ease of operation.
Solution Approach 2:
The patent applies feedback by continuously monitoring the drone's camera output and comparing it with the original video characteristics. The system uses this feedback to automatically adjust zoom, view angle, and composition in real-time to maintain fidelity to the original video style while ensuring safe and compliant operation.
3Manufacturing precision
If manual control of camera settings is required, then precise photographing control is achieved, but operational complexity and user burden increase
Solution Approach 1:
The patent applies mechanics substitution by replacing manual mechanical control of camera settings with an automated digital control system. The system uses computer vision and image processing algorithms to automatically determine optimal camera parameters (zoom, view angle, composition) based on the original video analysis, eliminating the need for manual adjustment while maintaining high precision.
4Adaptability or versatility
If basic drone flight modes are used, then device simplicity is maintained, but the ability to create reproduction videos with movie-like scenes is limited
Solution Approach 1:
The patent applies universality by designing a control system that can perform multiple functions: basic flight control, video analysis, parameter extraction, camera setting adjustment, and autonomous navigation. This multi-functional system enables the drone to operate in various modes (basic flight, video reproduction, scene replication) without requiring separate specialized devices, thereby increasing adaptability while managing system complexity.
Data Source
AI summary
Provided is a user equipment for controlling a drone. The user equipment analyzes an original video to control the drone to photograph a reproduction video giving a feeling identical to or similar to the original video. An electronic device may be connected to an artificial intelligence module, a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G service, and the like.