tammymp Goto Github PK

adafruit_circuitpython_servokit

CircuitPython helper library for the PWM/Servo FeatherWing, Shield and Pi HAT kits.

atlas

This is a bipedal humanoid robot, using python for programming, with raspberry pi zero 2 w as the brain and PCA9685 for controlling the LDX-218 servos

autonopi

An autonomous RC car running on a RaspberryPi using OpenCV and TensorFlow

ball-tracking-robot-rpi-opencv

A Ball Tracking Robot using Raspberry Pi and OpenCV

centromedico

centroral.prueba

centroral3

Pagina web de centroral en prueba

centroral_final

freenove_4wd_smart_car_kit_for_raspberry_pi

Apply to FNK0043

lewansoul-servo-bus

Control Hiwonder/LewanSoul bus servos using Python 3

maestro

Python class to support Pololu's Maestro servo controller over USB serial. Great with Raspberry Pi.

nomad

4WD raspberry-pi autonomous robot

opencv

Open Source Computer Vision Library

picamera2

New libcamera based python library

programacion

python-for-mbot

A Python interface to control and communicate with mBot robot kit

raspberrypi_opencv

University Project

retro-gaming

robot1

robot_pygame

Esta es una aplicacion para controlar un robot con raspberry pi y python, usando pygame y un teclado bluetooth

rpi-object-detection

Real-time object detection and tracking using Raspberry Pi and OpenCV!

self-driving-robot-using-neural-network

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using motor driver. This motor driver will move the robot in required directions. Neural Network is used to train the model by first driving the robot on the specially designed track by labeling the images with the directions to be taken. After the model is trained it can make accurate predictions by processing the images on computer. This approach is better than conventional method which is done by extracting specific feature from images.

sunfounder_pca9685

SunFounder PCA9685

zarite

Config files for my GitHub profile.