Drone Motion and Image Control Without a Separate Remote
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Solution Overview
Problem
Existing remote device control systems, such as those for drones, rely on dedicated wireless remote control devices that require skill to operate, are prone to interference, and have limitations due to battery power and range, making them cumbersome and unreliable for portable, personal use.
Innovation Solution
The development of systems and methods for motion and image-based control of remote devices, enabling voice, gesture, and multimodal control, allowing drones to react to user movements and commands without the need for a separate control device, using onboard microphones and cameras for voice recognition and image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a dedicated wireless remote control device is used to control the drone, then the drone can be operated remotely, but the system becomes cumbersome requiring the user to carry both the drone and the remote control device
Solution Approach 1:
The patent combines the control device functionality directly into the drone unit, eliminating the need for a separate remote control device. The drone incorporates sensors, processors, and control circuitry that enable it to receive and process control inputs locally, merging what were previously separate systems into a single integrated unit.
Solution Approach 2:
The drone is equipped with autonomous capabilities including self-stabilization, self-navigation, and self-control through onboard sensors and processors. The system can detect its own state, process control inputs, and execute maneuvers independently without requiring an external controller, enabling the drone to serve itself.
2Reliability
If a dedicated remote control device is used, then control functionality is provided, but the device is subject to interference and battery limitations
Solution Approach 1:
By integrating the control system into the drone itself, the patent eliminates the separate battery and communication hardware required for external remote controllers. The onboard control system uses the drone's existing power supply and communication infrastructure, removing the additional energy burden and interference susceptibility of a separate control device.
Solution Approach 2:
The patent introduces wireless communication protocols and signal processing intermediaries that enable control inputs to be transmitted and processed without requiring a dedicated physical controller. The system uses intermediate signal processing layers that filter and interpret control commands, reducing the impact of electromagnetic interference and eliminating the need for additional battery-powered control hardware.
3Ease of operation
If traditional remote control is used, then the drone can be controlled, but considerable skill and practice are required for effective operation
Solution Approach 1:
The drone incorporates autonomous control capabilities where the onboard system automatically stabilizes flight, maintains position, and executes maneuvers based on sensor feedback. The self-service control system reduces the skill requirement by handling complex control tasks automatically, allowing users with minimal training to operate the drone effectively.
Solution Approach 2:
The patent implements closed-loop control systems where onboard sensors continuously monitor the drone's state and provide feedback to the control processor. This feedback mechanism automatically adjusts control inputs to maintain desired flight characteristics, eliminating the need for users to manually compensate for disturbances and reducing the skill level required for effective operation.
Data Source
AI summary
Systems, devices, media, and methods are presented for detecting and interpreting motion of a device and a remote object to control operations of the device. The systems and methods identify a sensor input within a drone. The sensor input indicates movement of the drone within a three dimensional space. The systems and methods determine one or more movement attributes from the sensor input and, in response to the one or more movement attributes, selects one or more maneuvers corresponding to at least one movement attribute. The system and methods then execute the one or more maneuvers by controlling one or more drone control components to move the drone within the three dimensional space.