Smart Drone Controlled by Gestures for Intuitive Navigation

Problem Statement

During the Innovation School residency, the team set out to design a smart drone that leverages user-mounted sensors to enable gesture-based control, obstacle avoidance, and autonomous task execution. The drone is intended to operate in dynamic and unpredictable environments, offering intuitive interaction for enhanced task autonomy.   

Contributors

Angad Tathgir | Vivaan Parikh | Aditya Konda

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About Smart Drone Controlled by Gestures for Intuitive Navigation

Solution

  A working prototype of a gesture-controlled drone with the following features: User-Mounted Flex Sensors: Glove-based sensors detect finger movements and convert them into drone commands. Button-based Control in Initial Prototypes: Basic takeoff/landing functions managed via physical buttons. ESP-NOW Communication: Wireless link between glove and drone. Drone Code & Circuitry: Includes receiver/transmitter logic, drone stabilization, and motor control. Future Iterations: Full gesture-to-movement integration for seamless flight. 

Additional Info

Idea: The core concept is a drone that responds to finger movements. Using sensors mounted on a user’s glove, the drone interprets hand gestures to control its motion — such as accelerating, decelerating, or changing direction. Prototypes & Rejected Ideas: The team brainstormed and evaluated various ideas: Solar-powered water purifier RC all-terrain vehicle Spoken language to sign language converter Gesture-controlled drone (final choice) Why This Idea Was Chosen: The team was inspired by the transformative potential of smart drones. Their capacity to automate tasks, enhance safety, and collect data could significantly improve everyday life and work. Key motivations included: Job creation potential (100,000+ drone-related jobs projected in the US by 2025) Global drone market projected to reach $100B by 2026 Desire to be at the forefront of gesture-based human-drone interaction

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