This project is focused on building and developing a drone system for various applications, such as aerial photography, delivery, surveying, and more. The drone is equipped with sensors and a camera to allow for autonomous flight, obstacle avoidance, and real-time data streaming.
- Autonomous Navigation: Ability to fly autonomously using GPS and sensors.
- Obstacle Avoidance: Equipped with ultrasonic sensors for detecting and avoiding obstacles.
- Real-time Video Streaming: Camera module allows real-time video feed for aerial surveillance.
- Stabilization: Built-in flight controller with stabilization algorithms.
- Customizable Payload: Options for attaching different payloads (e.g., cameras, sensors, etc.).
To get started with the drone project, follow these steps:
- Raspberry Pi or compatible flight controller
- Drone frame
- Motors and ESCs (Electronic Speed Controllers)
- GPS module
- Ultrasonic sensors
- Camera (e.g., Raspberry Pi Camera)
- Battery (LiPo or equivalent)
- Software: Python, DroneKit, MAVLink, OpenCV (for computer vision)
- Assemble the drone frame.
- Attach motors and connect them to the ESCs.
- Install the GPS module and connect it to the flight controller.
- Attach the camera and connect it to the Raspberry Pi or controller.
- Ensure that the drone battery is charged and connected.
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Clone the repository:
git clone https://github.com/janeshnanda2005/drone-project.git cd drone-project