Hand gesture recognition using Deep learning and raspberry pi

3rd Year (Year Long) University project - Hexapod Robot. Built using a Raspberry Pi 4 and Arduino Mega 2560. Includes hand pose/gesture recognition and face detection

Hand gesture recognition on a Raspberry Pi uses a camera and libraries like OpenCV and MediaPipe. OpenCV handles video capture, while MediaPipe detects hand landmarks and gestures. Python integrates these tools for real-time gesture recognition, enabling interactive applications and control systems in tech and robotics projects.

hand gesture recognition using 3 method with raspberry pi

A Machine Learning Model for Hand Gesture Recognition using Raspberry PI and TensorFlow

1. Using Raspberry Pi 4 generation B type, to achieve the recognition of hand gestures. 2. Based on openCV framework, using Python language programming to implement image processing and motor drive.

A Raspberry Pi-based real-time hand gesture recognition system to play Rock, Paper, and Scissors using OpenCV and TensorFlow. The project captures gestures via camera, processes them using computer vision, and classifies them with a trained deep learning model.

The Gesture Home System uses hand gesture recognition to control smart devices without touch, providing a hygienic and intuitive solution. By employing YOLOv8 for real-time gesture detection with Raspberry Pi, it allows users to control devices like LED, fans, and motors seamlessly in a smart home environment.

hand gesture recognition using raspberry pi - pyhton code

MTech Minor project

Embedded AI Hand Gesture Recognition System Using Raspberry Pi For Device Control

Developing a hand gesture recognition system using a Raspberry Pi to enable natural and touchless human–computer interaction.

Toy Project about Physical Computing using Arduino and Raspberry Pi with IMU Sensor and Vision Algorithm for Hand-Gesture Recognition

A real-time hand gesture recognition system that controls servo motors on a Raspberry Pi, allowing a robotic hand to mimic finger movements using a webcam and MediaPipe.

A real-time hand gesture recognition system for the speech-impaired using Python, OpenCV, and Raspberry Pi(optional for hardware deployment). Recognized gestures are converted to speech using a Text-to-Speech engine.

Real-time hand gesture recognition pipeline for Raspberry Pi 4 with OV5647 camera. Uses MediaPipe ONNX models via OpenCV DNN for Python 3.13 compatibility.

I built a hand gesture recognition program using Python, OpenCV, and Picamera2 on Raspberry Pi. The program detects a hand in the camera feed, counts the number of fingers shown, displays the gesture on screen, and speaks it aloud using text-to-speech.

An AI-powered real-time hand gesture recognition system that uses YOLO object detection + MediaPipe preprocessing to control multiple system states such as engine, indicators, and lights on a Raspberry Pi using a Pi Camera.

A CNN-based hand gesture recognition system that uses computer vision to detect real-time hand movements and control a robotic arm via Raspberry Pi, enabling contactless and intuitive human–robot interaction.

This system implements a touchless Human–Computer Interaction (HCI) mechanism for controlling a media player using hand gestures. The solution leverages MediaPipe for real-time hand tracking and gesture recognition, deployed on a Raspberry Pi 5 (RPI5) as an edge computing device.

IoT-Based Gesture Recognition System for Robotic Arm Control A real-time system that controls a 3D-printed robotic arm using hand gestures, integrating: Computer Vision (YOLOv5 for gesture recognition) IoT (MQTT/ThingSpeak for remote monitoring) Embedded Systems (Raspberry Pi + NodeMCU) Designed for applications in automation, healthcare, and ass

A wearable assistive system for visually impaired users using Raspberry Pi. It includes Object Detection, Emotion Recognition, Text-to-Speech, and Currency Detection with real-time audio feedback. Features are accessed via hand gestures using MediaPipe. Object detection is offloaded to a Flask API for faster performance.

Repo for a raspberry pi project I am working on. The aim of the project is to create a remote control car that is controlled via hand gestures using real time object detection. I would also like to add some visual recognition features to the R-pi remote control car too.