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5 Fun DIY Drone Projects Using AprilTags

  • Writer: Hudson Jace
    Hudson Jace
  • Apr 24
  • 2 min read

AprilTags aren’t just for industrial drones—they’re a game-changer for hobbyists, students, and makers too! These low-cost, high-precision markers can turn your drone into an autonomous robot capable of landing, navigating mazes, and even playing games.

In this blog, we’ll explore 5 fun and educational DIY projects you can build with AprilTags and a basic drone (like a DJI Tello, Ryze, or custom FPV quad). No advanced coding skills required!

Project 1: Automated Precision Landing Pad

Goal: Make your drone land perfectly on a target every time.

What You’ll Need:

  • A drone with a camera (DJI Tello works great!)

  • A printed AprilTag (at least 6"x6")

  • Python + OpenCV (for detection)

How It Works:

  1. Place the AprilTag on your landing pad.

  2. Write a script to detect the tag and guide the drone to center itself.

  3. Bonus: Add ultrasonic sensors to refine the landing.

Why It’s Cool:✔ No more missed landings!✔ Works indoors without GPS.

Project 2: Autonomous Maze Solver

Goal: Program your drone to navigate a maze using AprilTags as checkpoints.

What You’ll Need:

  • A small drone (Tello or Crazyflie)

  • Multiple AprilTags (placed at maze turns)

  • A simple Python script for pathfinding

How It Works:

  1. Place AprilTags at key decision points in the maze.

  2. Program the drone to:

    • Detect a tag.

    • Follow a pre-set path (e.g., "If Tag 1, turn right").

  3. Watch it autonomously escape!

Why It’s Cool:✔ Teaches basic autonomy & computer vision.✔ Great for STEM classrooms.

Project 3: Drone “Fetch” with AprilTags

Goal: Train your drone to find and hover over a marked object (like a robot dog fetching a ball).

What You’ll Need:

  • A programmable drone (DJI SDK or Tello)

  • An AprilTag on a movable object (e.g., a book, box)

How It Works:

  1. Move the tag around a room.

  2. The drone tracks it in real-time using OpenCV.

  3. Bonus: Add a gripper to pick up objects!

Why It’s Cool:✔ Mimics real-world drone delivery systems.✔ Fun for pet tricks with drones!

Project 4: AprilTag “Simon Says” Drone Game

Goal: A voice-controlled game where your drone follows AprilTag commands.

What You’ll Need:

  • A drone + AprilTags (numbered 1-4)

  • A Raspberry Pi (for voice processing)

How It Works:

  1. Place tags in different corners of a room.

  2. Say: “Simon says go to Tag 3!”

  3. The drone flies to the correct tag using vision.

Why It’s Cool:✔ Combines voice AI + drone navigation.✔ Perfect for hackathons or kids’ workshops.

Project 5: Swarm Drone Light Show (Beginner Version)

Goal: Sync two drones to perform simple formations using AprilTags.

What You’ll Need:

  • 2+ programmable drones (Tello EDU works)

  • AprilTags as position markers

How It Works:

  1. Place tags on the ground as reference points.

  2. Program drones to:

    • Detect their own tag.

    • Move in a pattern (e.g., circles, zigzags).

  3. Bonus: Add LEDs for a night show!

Why It’s Cool:✔ Affordable alternative to Intel’s drone swarms.✔ Great for science fairs or maker faires.

Which Project Will You Try First?

These projects prove that AprilTags aren’t just for pros—they’re a powerful, low-cost tool for DIY drone enthusiasts. Whether you’re into robotics, education, or just fun experiments, AprilTags open up endless possibilities.

Got questions? Ask below, and happy flying! 🚁



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"Welcome to Aerial Insights Pro—your ultimate resource for expert insights on aerial mapping, drone technology, and UAV surveying. Explore tutorials, industry news, and cutting-edge innovations to elevate your skills and knowledge."

we believe the sky is not the limit—it’s the beginning. Join us as we explore the world of aerial mapping, drone technology, and precision surveying, one flight at a time.

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Aerial and drone mapping rely on a suite of advanced tools to achieve precision and efficiency. Mapping drones like the DJI Phantom 4 RTK and Matrice 300 RTK, equipped with high-resolution cameras, form the backbone of data collection. Ground Control Points (GCPs) and AprilTags ensure accuracy by providing reference markers for real-world alignment. Specialized sensors, such as multispectral cameras (e.g., Parrot Sequoia) and LiDAR systems (e.g., DJI L1), capture detailed data for agriculture, forestry, and 3D modeling. Software like Pix4D, DroneDeploy, and Agisoft Metashape processes this data into actionable maps, while RTK GPS modules and GPS rovers enhance positional accuracy. Together, these tools create a seamless workflow for professionals in surveying, construction, and environmental monitoring.

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