UAV Hand-Gesture Flight Control Without Remote Devices
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Solution Overview
Problem
Existing UAV control methods require additional equipment such as remote control handles or touch screen devices, increasing costs and demanding user familiarity, which leads to poor human-computer interactions.
Innovation Solution
A control method and device for UAVs that utilize an image captured by a photographing device to determine the location of a target object's hand, allowing the UAV to be controlled based on this location information without the need for additional equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote control handles or touch screen devices are used to control UAVs, then control functionality is achieved, but device complexity and cost increase
Solution Approach 1:
The patent extracts the control function from traditional remote control devices and integrates it into the UAV system itself through image capture and processing. The photographing device on the UAV captures images, and the control device processes these images to determine hand positions and generate control signals, eliminating the need for separate remote control handles or touch screen devices.
Solution Approach 2:
The UAV system performs self-control by using its own photographing device to capture images, processing the images to detect hand positions, and generating control signals autonomously. This self-service mechanism eliminates dependency on external control equipment and simplifies the overall system.
2Measurement precision
If additional control equipment is used, then control precision can be improved, but ease of operation deteriorates due to learning requirements
Solution Approach 1:
The patent replaces mechanical control systems (remote control handles, touch screens) with an optical-based system. The photographing device captures images, and image processing algorithms automatically detect hand positions and translate them into control signals. This substitution maintains control precision while dramatically improving ease of operation, as users only need to make natural hand gestures without learning complex control device operations.
3Reliability
If traditional control methods are used, then reliable control is achieved, but productivity decreases due to complex operation processes
Solution Approach 1:
The system performs preliminary actions by continuously capturing images and pre-processing them to detect hand positions before actual control commands are executed. The control device maintains a ready state by constantly monitoring the image stream and pre-calculating control signals based on detected hand positions, enabling rapid and reliable control responses without complex operational steps.
Data Source
AI summary
A control method includes obtaining an image captured by a photographing device, determining a location of a target part of a target object in the image, controlling, based on at least the location of the target part, an unmanned aerial vehicle (UAV) to fly to an expected altitude with a non-zero horizontal distance with the target part of the target object, and in response to a detected landing command, controlling the UAV to initiate a landing process. The expected altitude is an altitude at which the target part is located.