Skip to main content

Control ESP32 wheeled robots with hand gestures (via Serial)

Project description

🤖 Gesture Wheels

Control your ESP32 Wheel Robot using hand gestures detected by a webcam!
This library is built for students and educators to learn how AI (MediaPipe) and IoT (ESP32) can work together.


🚀 Features

  • 🖐️ Gesture control using MediaPipe + OpenCV
  • 🔌 Simple serial communication with ESP32
  • 🎮 Finger-count mapping for robot motion:
    Fingers Command Robot Action
    ☝️ 1 F Move Forward
    ✌️ 2 B Move Backward
    🤟 3 R Turn Right
    🖖 4 L Turn Left
    🖐️ 5 S Stop

🧰 Requirements

  • Python 3.7+
  • ESP32 (connected via USB)
  • Motor driver (L298N / L293D)
  • opencv-python
  • mediapipe
  • pyserial

⚙️ Installation

pip install gesture-wheels

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gesture_wheels-0.9.0.tar.gz (4.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gesture_wheels-0.9.0-py3-none-any.whl (4.5 kB view details)

Uploaded Python 3

File details

Details for the file gesture_wheels-0.9.0.tar.gz.

File metadata

  • Download URL: gesture_wheels-0.9.0.tar.gz
  • Upload date:
  • Size: 4.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.13

File hashes

Hashes for gesture_wheels-0.9.0.tar.gz
Algorithm Hash digest
SHA256 6890e0e63080257988495e413029a352f6e526a5ee7ab7a68db9389c275a7116
MD5 1d7d55464f843c88aa7cc1920a48677b
BLAKE2b-256 af973938106c14bb0adfdcf16429a4b9f5c8fb93ff6ed600206e4dde412ff473

See more details on using hashes here.

File details

Details for the file gesture_wheels-0.9.0-py3-none-any.whl.

File metadata

  • Download URL: gesture_wheels-0.9.0-py3-none-any.whl
  • Upload date:
  • Size: 4.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.13

File hashes

Hashes for gesture_wheels-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a6e7626c2e2111c39c0ccc4a952ea68b242a92c3949d69a930b3a2b0d841f04c
MD5 a71372de503e884f22ccc7d106fab22c
BLAKE2b-256 3f86a7f0eb51988cb61b471de66d0ee0e4de838e5096e834eff8edb7e86ec404

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page