Phurin Nararat's Projects
Design and control system for a 3DoF robotic arm include rotation matrices, homogeneous transformations, Denavit-Hartenberg parameters, Jacobians, potential energy calculations, and dynamic modeling using the Euler-Lagrange method.
Attitude and Heading Reference Systems in Python
Welcome to DevPlayground! This repository serves as a comprehensive coding workspace where I practice my skills in various programming languages and frameworks.
Enjoy our curated collection of examples and solutions. Use these patterns to build your own robust and scalable applications.
Creating a line-following robot using an Arduino UNO microcontroller and PID algorithm. The robot is designed to detect and follow a line, typically a black line on a white surface, using infrared sensors.
A starter RAG application for developers to learn and start building;
A developer directory built on Next.js and MongoDB Atlas, deployed on Vercel with the Vercel + MongoDB integration.
The React Framework
Next.js + Tailwind + Typescript + Drizzle + NextAuth + PostgreSQL starter template.
This repository features a machine vision project using Python and OpenCV to inspect various geometric shapes, including circles, triangles, rectangles, and pentagons. The project provides a graphical user interface (GUI) with three tabs to facilitate real-time object inspection, camera calibration, and filter parameter adjustment.
Welcome to my GitHub profile! I am an aspiring full-stack developer with a passion for software development.
A full-stack Next.js app with multi-tenancy and custom domain support. Built with Next.js App Router and the Vercel Domains API.
Attitude and Heading Reference System (AHRS) using the MPU9250 sensor. The project includes several Python scripts that handle various aspects of the AHRS system, including sensor data acquisition and processing.
A Python library for interfacing with the HX711 load cell amplifier. Traditionally, HX711 sensors have official libraries available only in C++ for Arduino. This library aims to fill that gap by offering a Python implementation, making it compatible with platforms such as the Jetson Nano that use Python GPIO for sensor integration.