Aircraft Gesture Flight Control Using Gimbal Image Scanning
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Solution Overview
Problem
The high cost and complexity of learning control skills for unmanned aircrafts make it difficult for users to efficiently control their flight, photographing, and landing processes.
Innovation Solution
A method and device that utilize an imaging device to capture environment images, determine characteristic parts of a target user, and recognize control objects to generate control commands for aircraft flight control, allowing for faster and more efficient operation through hand gesture recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional flight control methods are used, then reliable aircraft control is achieved, but the learning cost is high and operating processes are complex
Solution Approach 1:
The patent replaces traditional mechanical control interfaces (remote controls, switches, buttons) with an imaging-based gesture recognition system. The flight controller captures images of the user's hands and arms, processes these images to recognize gestures, and translates them into flight control commands. This substitution eliminates the need for users to learn complex mechanical control operations while maintaining reliable aircraft control.
Solution Approach 2:
The patent introduces an image processing system as an intermediary between the user's natural hand gestures and the aircraft control system. The flight controller acts as a mediator that captures images, processes them through gesture recognition algorithms, and converts recognized gestures into appropriate flight control commands. This intermediary layer simplifies the user interface while preserving control reliability.
2Productivity
If traditional control methods are used, then precise control is achieved, but the learning time and operational complexity increase
Solution Approach 1:
The gesture recognition system allows users to control the aircraft using their natural hand gestures without requiring training on specialized control mechanisms. Users instinctively make hand movements to indicate desired flight directions, and the system automatically interprets these gestures into control commands. This self-service approach eliminates the need for formal training periods while maintaining precise control capability.
Solution Approach 2:
Instead of requiring users to adapt to machine-controlled interfaces, the patent inverts the approach by having the system adapt to human natural gestures. The flight controller learns to interpret hand movements in their natural context rather than requiring users to learn artificial control signals. This inversion dramatically reduces learning time while preserving operational precision.
Data Source
AI summary
A method is provided for controlling flight of an aircraft carrying an imaging device. The imaging device is mounted at a gimbal. The method includes in response to receiving a triggering operation that triggers the aircraft to operate in an image control mode, obtaining an environment image captured by the imaging device, recognizing a gesture of a target user in the environment image, and in response to recognizing that the gesture of the target user is a start-flight gesture, generating a takeoff control command to control the aircraft to take off. Obtaining the environment image includes after obtaining the triggering operation, controlling the gimbal to rotate to control the imaging device to scan and photograph in a predetermined photographing range, and obtaining the environment image including a characteristic part of the target user that is captured by the imaging device through scanning and photographing in the predetermined photographing range.