Home Automation Through Smart Phone Using Wi-Fi
This project controls the appliances using smart phone through wi-fi signal. We use wi-fi signal access point mode. Project distribute in tow parts software and hardware. We connect with hardware through android apps that control 6 relays. Relays connected to the output of microcontroller. The appli
Project Title
Home Automation Through Smart Phone Using Wi-Fi
Project Area of Specialization
Project Summary
This project controls the appliances using smart phone through wi-fi signal. We use wi-fi signal access point mode. Project distribute in tow parts software and hardware. We connect with hardware through android apps that control 6 relays. Relays connected to the output of microcontroller. The appliances control in tow way through smart phone and manual switch. For manual switching we use SPDT switch.This project controls the appliances using smart phone through wi-fi signal. We use wi-fi signal access point mode. Project distribute in tow parts software and hardware. We connect with hardware through android apps that control 6 relays. Relays connected to the output of microcontroller. The appliances control in tow way through smart phone and manual switch. For manual switching we use SPDT switch. In future the project shifted to both mode wi-fi access mode and station mode.
Project Objectives
1: To make in a useful form.
2: tow way switching salution.
Project Implementation Method
Android application is completed in MIT Apps Inventor and hardware make on 2 sided copper board (PCB).
Benefits of the Project
This project is useful for time consuming, handicap people , switching from a distance and without touching the switch board.
Technical Details of Final Deliverable
We use a wi-fi module for connecting to smart phone. wi-fi module connect with microcontroller (Atmel328p) with serial interface. First, we burn a program in microcontroller that write in C language. The microcontroller output connected to optocoupler. The optocoupler output connected to 5VDC relays. Relays connected to SPDT switch and appliances in tow way switching mode.
For relay board and microcontroller, we use 5-volt power supply. For wi-fi module we ASM1117 regulator to convert 5 volts to 3.3 volts. There are reset button and clock circuit connected to microcontroller.
Final Deliverable of the Project
Type of Industry
Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| wi-fi module | Equipment | 1 | 350 | 350 |
| microcontroller | Equipment | 1 | 160 | 160 |
| relay | Equipment | 6 | 40 | 240 |
| optocoupler | Equipment | 6 | 10 | 60 |
| resistors | Equipment | 14 | 1 | 7 |
| capacitors | Equipment | 2 | 25 | 50 |
| PCB | Equipment | 1 | 70 | 70 |
| SPDT switch | Equipment | 6 | 25 | 150 |
| power supply | Equipment | 1 | 510 | 510 |
| crystal | Equipment | 1 | 10 | 10 |
| capacitor | Equipment | 2 | 5 | 10 |
| diode | Equipment | 6 | 2 | 12 |
| fuse | Equipment | 1 | 20 | 20 |
| connectors | Miscellaneous | 7 | 7 | 49 |
| ASM1117 | Equipment | 1 | 10 | 10 |
| IC base | Miscellaneous | 1 | 10 | 10 |
| Wi-fi module base | Miscellaneous | 1 | 10 | 10 |
| push button | Equipment | 1 | 5 | 5 |
| Total in (Rs) | 1733 |
If you need this project, please contact me on contact@adikhanofficial.com
EmoSense
According to research 18.5% of the world population is suffering from mental illness out o...
Dress Code Detection and Sounding Buzzer using Deep Neural Network
This project is mostly implemented in foreign countries, mainly in the industrial areas wi...
Skin Cancer Detection using machine learning
Skin-D is a web application that will allow users to check for the remedies of the skin di...
GSM Based Disaster Management System
Due to heavy rainfall, severe flooding can be a significant problem, one that can potentia...
Raspberry pi based reader for blind people
In this project we are making document reader for visually impaired people, developed...