UAV Gesture Recognition Control for Flight and Camera Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing unmanned aerial vehicles (UAVs) lack effective systems for interpreting user gestures to adjust flight and sensor operations, limiting their autonomy and remote control capabilities.
Innovation Solution
A system incorporating image sensors, remote controllers, and physical processors to recognize user gestures, control UAV flight and sensor parameters, and project patterns for command recognition, enabling advanced control modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional remote control or autonomous operation is used for UAVs, then basic flight control is achieved, but the system lacks the capability to interpret user gestures for real-time adjustment of flight and sensor operations
Solution Approach 1:
The patent introduces an image sensor as an intermediary device that captures visual information of user gestures. This intermediary translates complex human gestures into interpretable data that the UAV control system can process, enabling gesture control without requiring direct mechanical or electrical coupling between the user and UAV control mechanisms.
Solution Approach 2:
The patent replaces traditional mechanical remote control systems with an optical-based gesture recognition system. Instead of using physical transmitters and receivers, the system uses image sensors to detect and interpret hand gestures, substituting mechanical control with optical field-based detection and computational interpretation.
2Ease of operation
If gesture recognition systems are added to UAVs, then real-time control adjustment capability is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The system enables self-service operation where the UAV automatically detects, interprets, and responds to user gestures without requiring manual configuration or complex setup. The gesture recognition system operates autonomously, continuously monitoring the visual field and translating gestures into control commands without user intervention beyond the initial gesture itself.
Solution Approach 2:
The system performs preliminary action by pre-processing and interpreting gestures in real-time before executing control commands. The image sensor continuously captures gesture data, and the control system pre-processes this information to prepare appropriate flight and sensor adjustments, enabling smooth real-time control transitions.
3Extent of automation
If multiple sensors and control subsystems are integrated, then UAV functionality and autonomy are enhanced, but the system complexity and difficulty of detecting and measuring gestures increase
Solution Approach 1:
The patent segments the control system into distinct functional modules: image sensors for gesture capture, processing units for gesture interpretation, and execution subsystems for flight and sensor control. This segmentation allows each component to specialize in specific tasks, improving gesture detection accuracy while managing overall system complexity through modular architecture.
Data Source
AI summary
The present teachings provide a system including image sensors, remote controllers, and one or more physical processors. The image sensors are configured to generate output signals conveying visual information regarding the one or more images of one or more individuals. The remote controllers are configured to be worn by individuals, and the remote controllers are in communication with the image sensors to provide location information to the image sensors regarding a location of the individuals wearing the remote controllers. The one or more physical processors are configured by computer-readable instructions to recognize the remote controllers worn by the individuals. The one or more physical processors are configured to track the individuals based on the location of the remote controllers. The one or more physical processors are configured to control the image sensors to capture images of the individuals based upon the location of the remote controllers.