AprilTag is a visual fiducial system popular in robotics research. This repository contains an adaption of the original AprilTag 3.0 library to use as an Arduino library for ESP32 boards (ideally ESP32 camera boards).

• Tag families: Can detect all tested AprilTag families (eg 16h5, 25h9, 36h11).
• Max distance: to be tested. 5cm, square 36h11 tags can be detected from > 1.5M (might even be further, but haven't tested).
• Processing time per frame: 200ms (2 threads) in SVGA resolution, 150ms (single-thread) in VGA resolution and under 100ms (single-thread) in HVGA resolution, all with pose estimate enabled. 16h5, 25h9, and 36h11 families all have about the same processing time under the same conditions.
• Camera resolution: works best with SVGA+ resolution. VGA also works great but might not suitable for small tags. HVGA also works but has limited range.
• Accuracy: No wrong tag detection when using 36h11 family. Sometimes tags might not be detected due to motion blurry or light conditions.
• Memory: 2.5MB used on pose_estimate.ino example, with SVGA resolution, 36h11 family, and pose estimation. Might even reduced to just 2MB or 1.5MB when using lower resolution and smaller tag family (eg 16h5). You can also try ESP32's HIMEM API if you want more memory for your own task.
• Flash size: Only use nearly 500KB of flash in the pose_estimate.ino example.

• All features like you would expect from the original AprilTag library.
• Multithread: The optimal number is 2 threads on 2 ESP32 cores (one per core).
• Debug: Include capture-to-SD feature and conversion script to view the frame and debug later. See example sketches for more info. Other debugging features from original AprilTag library are also kept.
• Fully customizable: You can customize parameters or even library's internal structure to fit your need/RAM.
• This library's aim is for ESP32 (Camera) platform, but it can be used for any other boards in Arduino IDE as long as it has enough RAM.

You can install this library like how you would do with other Arduino libraries on Github: Click on Code button then click on Download ZIP. Then open your Arduino IDE, click on Sketch > Include Library > Add . ZIP Library

Two examples sketches are available: simple_tag_detect for just tag detection, and pose_estimate for tag detection + pose estimation.

• Convert structure to Arduino library's
• Change all double to float (ESP32 only natively support single-precision math)
• Add IRAM_ATTR to commonly used functions (only apply to ESP32 boards)
• Reduce the max number of tags for families like 36h10 and 36h11 to fit ESP32's memory (currently to 35 tags for each of these family). See commit https://github.com/raspiduino/apriltag-esp32/commit/59468385da1e9fff37c0f4e9a8152c1ef546523e for more information. You may modify the number to fit your need, but please check the memory usage.
• Add simple tag detect and pose estimate examples for ESP32-CAM.

See #1

• Original AprilTag library developers.
• gvl610 for the Arduino library version of AprilTag.

BSD 2-Clause License. Same as original AprilTag library.