Projects

Smart assistive device for visually impaired people Arduino

INTRODUCTION Eyes are a very sensitive part of the human body. It is through eyes that we visualize and understand the physical aspects of different things around us. Eyes are our gateway to the world. Worldwide, about 285 million individuals are visually impaired, out of which 39 million people are blind. These persons have great …

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Simple Calculator Using Arduino –

If you are just getting started with Embedded programming Arduino is a wonderful platform. In this project, we will see how to make a simple calculator using Arduino. This calculator is very useful for small calculations and less expensive. This calculator can perform simple operations like addition, subtraction, multiplication, and division but once you understand …

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Connect Your HD44780 IC Based LCD(16*2) with any microcontroller!!!

Introduction: Hey Guys! Today we will learn all that is required to connect LCD Display with any microcontroller. At last. we will discuss some important doubts regarding the same. So let’s get started….. 16×2 LCD display is an alphanumeric display. It is based on the HD44780 display controller( LCD module is controlled using predefined commands …

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ARDUINO NANO PROPELLER LED ANALOG CLOCK

Today, we will discuss how to make Arduino NANO Propeller LED Analog Clock using Arduino NANO, Hall Sensor, magnet, LEDs and Resistors. The Components Required for this project are: Arduino Nano Hall Sensor Resistors(16 Resisters of 330 ohms and one resistor of 2.2k ohms) LED(11 Red, 5 Green and 1 Blue) Breadboard Battery Jump Wires …

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HOME AUTOMATION USING GOOGLE ASSISTANT

INTRODUCTION In this project we will control smart home devices including lights, switches, fans and thermostats using our Google Assistant. We will be building a setup which consist of Node Mcu, Relay Module, 220v AC supply, And any Device which you need to control. In our example we took bulb. This project also includes Adafruit …

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Smart Health Monitoring System in Hospitals using Nodemcu and Raspberry Pi

Introduction It is essential to monitor the health of patients in hospitals and due to the rapid increase in the number of patients. It has become a difficult task for doctors/nurses to monitor the health of the patients in real-time especially night times. The proposed idea of the smart health monitoring system helps the doctors/nurses …

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MPU 6050 Teapot Project

COMPONENTS AND SUPPLIES Arduino Nano 1 MPU6050 1 NECESSARY TOOLS AND MACHINES Premium Female/Male Extension Jumper Wires, 40 x 6″ (150mm) APPS AND ONLINE SERVICES The Processing Foundation Processing Arduino IDE ABOUT THIS PROJECT In our previous blog, we discussed the basics of M.P.U. 6050, which is an Accelerometer and Gyroscope for our Arduino Board, …

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LOGIC GATE “AND” CONTROLLED “LED” SIMULATION

COMPONENTS REQUIRED: AND GATE: AND_2: Two input, one output AND_3: Three input, one output AND_4: Four input, one output LED: (3) LED’S LOGIC STATE Why logic gates are used? Logic gates perform basic logical functions and are the fundamental building blocks of digital integrated circuits. A logic gate is comprised of resistors and transistors, or diodes. They can perform simple or …

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Automatic Pump Control using Firebase and Android Application

INTRODUCTION This project links a physical system to a real-time database (i.e. google firebase in this case).The values stored in the database can be accessed from anywhere in the world by using its API in the application to fetch the data from it.This is a true real-time project where the data can be accessed from …

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Accident Detection and Reporting System Using IoT

INTRODUCTION According to statistical reports, incidents of accidents have shown an increasing rise in the last decade, among which most of the accidents are unreported due to which death rates have been increased which is mostly because of the unavailability of the technology as one of the main reason to report the accidents from an unknown …

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PIXY2.0 Smart Object Tracking By Arduino

PIXY 2 camera specifications: MCU – NXP LPC4330 dual-core Arm Cortex M4/M0 @ up to  204 MHz with 264KB RAM, 2MB flash Image sensor – OnSemi  (previously Aptina)MT9M114 1296×976 resolution with integrated image flow processor Lens field-of-view – 60 degrees horizontal, 40 degrees vertical USB – 1x micro USB port Expansion I/O port with UART serial, SPI, …

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