Drone Gesture and Image Control Without a 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, are prone to interference, and have limitations due to battery power and range, making them cumbersome and unreliable for effective operation.
Innovation Solution
The implementation of multimodal control systems that allow for motion, image, and voice-based control of remote devices, enabling autonomous operation and hands-free use by detecting user movements and voice commands through onboard sensors and cameras, eliminating the need for a dedicated control device.
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 and the drone into a single integrated system. The control device is mounted on the drone itself, eliminating the need for a separate remote control unit. This merging of functions allows the drone to be controlled automatically or through simple gestures without requiring the user to carry and operate a separate controller.
Solution Approach 2:
The drone is equipped with onboard sensors, processors, and control mechanisms that enable it to autonomously navigate and perform tasks. The system can detect gestures, process images, and execute commands independently, making the drone self-sufficient and eliminating the need for continuous manual control from a separate device.
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:
The system uses an image capture device and gesture recognition algorithm as intermediaries between the user and the drone control. Instead of relying on traditional radio frequency remote controls that are susceptible to interference, the system captures images or video, detects gestures through image processing, and translates these gestures into control commands, providing a more reliable control mechanism.
Solution Approach 2:
The patent replaces the traditional mechanical/electronic remote control system with an optical-based gesture recognition system. By using image capture devices and computer vision algorithms to detect hand gestures or body movements, the system eliminates the need for battery-powered remote controls and radio frequency communication, thereby removing the associated interference and power limitations.
3Ease of operation
If traditional remote control devices are used, then basic control is achieved, but skill and practice are required for effective operation
Solution Approach 1:
The patent replaces complex manual control mechanisms with automatic gesture recognition. Instead of requiring users to learn and operate sophisticated remote controls, the system captures images or video of the user's gestures and automatically interprets them into control commands, making the drone easy to operate without requiring specialized skills or practice.
Solution Approach 2:
The drone's control system automatically detects and interprets user gestures without requiring manual input through a remote control interface. The onboard processor analyzes the captured images or video frames, identifies gesture patterns, and executes corresponding commands autonomously, eliminating the need for users to have expertise in operating complex control devices.
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.