Smart Home

Project Title

Smart Home

Project Area of Specialization Internet of ThingsProject Summary

Smart Home is an IOT based Android application. Smart Home System proposes a smart way to handle various physical objects from remote distance in a home. It concerns automation of home, home security and certain household activities. It includes centralized monitoring and control of lightning of entire home, home appliances (fans, referigerators and air conditioners etc), accidental prevention (gas leakage, fire, etc.). Smart Home will provide a convenient, comfortable, energy efficient and secure system.

Various kinds of sensors will be used in building and delivering the “Smart Home” application. These sensors will be converting analog data into digital data. This digital data will be given to the ESP32-WROOM-32 (Wi-Fi, Bluetooth module). Further the data will be sent to Raspberry Pi and then to the owner’s mobile phone via internet (IOT) and in the case of emergency via a message service JMS. Face detection API will be used to recognize who is at the door and a notification will be sent to the user.The owner of smart home can check the data/activity in home from any location.

Project Objectives

The main objective of Smart home application is to develop a Smart home monitoring (home security) and control system using techniques based on Internet of things (IOT).
The Smart Home Applicaion will provide the following services.

• Only authenticated users can login for a specific home.
• Admin can add new users for a home.
• User can select a room.
• User can select devices based in room selected.
• User can switch on/off devices.
• User can enable/disable Surveillance. So that house can be monitered using different sensors like smoke,humidity,door and motion detection. 
• If any breakage in survillence occur system will generate an alarm on users phone, home. If no action is taken by any user of that home an emergency message with location and problem will be sent to the saved emergecy contacts.
• If someone visits the smart home and knocks the door camera's will detect their face using AI API's of face detection and inform the user on the app.

Project Implementation Method

Tools and techniques
Following are the tools and techniques that will be used in implementation.

• Android Studio (as IDE for application development).
• Arduino (as IDE to configure Ardunio devices).
• Face Detection API.
• ArgoUML.
• MS word.
• Internet of Things.
• Algorithms to send emergency message.

Languages

• JAVA (in android studio for application development).
• C++ (in ardunio for configration of ardunio devices).

As the project involves processing devices inputs and outputs in real time and have to take actions immediately , it requires computational resources like Raspberry Pi with 4GB ram and SSD for device. Although a computer is not requested by the project, but project funding will be used to upgrade existing resources of the university to make the execution of this project possible.

Benefits of the Project

Smart Home project will facillitate end users through technology in terms of time and ease of life.The user can monitor his/her home using Smart Home app which will help end users to secure his/her home. The face detection API will help to recognize who is at the door and user will get notification who is at the door.

Technical Details of Final Deliverable

Smart Home will be an Android based application which will support Android version 5.0 or later. Sensors and devices will be connected to Arduino(WROOM 32 and Raspberry Pi). These devices will be controlled using WIFI and bluetooth.
Final app will be software/hardware integrated system.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Security Core Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI)Sustainable Development Goals Industry, Innovation and Infrastructure, Life on LandRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	76110
Raspberry Pi 4 (4 GB)	Equipment	2	13000	26000
ESP32-WROOM-32	Equipment	4	1200	4800
Humidity and Temperature sensor	Equipment	1	425	425
Motion sensor	Equipment	1	450	450
Smoke sensor	Equipment	1	220	220
Light sensor	Equipment	1	80	80
Magnetic Door Sensor	Equipment	1	125	125
Water level Sensor	Equipment	1	40	40
Door Lock	Equipment	1	1000	1000
Relay Module 4CH 5Volt	Equipment	3	250	750
Solid State Relay	Equipment	1	450	450
12 V power supply circuit	Equipment	1	600	600
Connector: - Jumper	Equipment	1	200	200
Board: - Generic DIY Retails 3.3V	Equipment	1	250	250
Fan speed controller	Equipment	1	180	180
Bulb	Equipment	1	100	100
Holder	Equipment	1	40	40
Camera for security	Equipment	2	3000	6000
DDR 4 8gb samsung	Equipment	2	5000	10000
Nvme samsung evo 970 500 GB	Equipment	1	18000	18000
Travelling	Miscellaneous	9	400	3600
Printing	Miscellaneous	8	350	2800