Home Automation and Security using Machine Learning
With technology prevailing through all sectors of life, there is more need now than ever to automate our daily operations. Homes now have to be operated digitally instead of the old- fashion manual way and it needs to be smart. Learning the user behaviour as the time passes. We need a ce
2025-06-28 16:32:55 - Adil Khan
Home Automation and Security using Machine Learning
Project Area of Specialization Internet of ThingsProject SummaryWith technology prevailing through all sectors of life, there is more need now than ever to
automate our daily operations. Homes now have to be operated digitally instead of the old-
fashion manual way and it needs to be smart. Learning the user behaviour as the time passes.
We need a centralized, smart, artificially intelligent home automation system and that is what
we shall build.
We shall be replacing the traditional button switch boards with relays and connect those
relays to a Node MCU board. All the Node MCUs boards will then be centrally controlled by
a Raspberry Pi Device and the Raspberry Pi shall receive user instructions and do all the
data-processing tasks. The Pi shall then instruct the Node MCUs to carry out the desired
functions. We shall also be adding Machine Learning approaches to our system to make life a
bit easier. Some additional perks such as Recipe Suggestion etc. shall also be added.
The centralized and holistic approach that we are taking to build the system has a lot of
significance in today’s and future’s world. Many big companies are working on it but as far
as we have studied, we found two systems. One that is extremely manual i.e. the old
electrical button switch system prevalent in all our homes. Second is extremely novel i.e. the
systems that work only with some advanced electrical appliances (WiFi based AC, WiFi
based bulbs etc.) and that can be afforded only by the very rich. We shall provide a system
that lies between the two and that which transforms the user’s home system to digital and
smart by requiring very less hardware changes and no appliance changes i.e. it shall work
with already prevalent appliances and still be smart and autonomous. Hence we believe this
work does have a fair share in the market and is globally applicable to all lower-middle to
upper class families (class based on economical stature).
All below objectives shall be achieved:
- Way/s for user to interface with the electrical appliances digitally.
- Allow the user to control home appliances over the web from anywhere around or beyond the globe.
- Learn the user behavior against different intervals of each day of the week and automate his actions after learning for two or three weeks.
- Give the ability to super-user to add new users and assign room-rights to them.
- System should be compatible with majority of already-in-use appliances.
- Recipe shall be suggested to user upon selection of available ingredients.
- Home safety features shall be covered. Sensors in kitchen and other places around the home shall gather data which should be processed and user shall be notified in case of potential risk.
- Give ability to super-user to add new appliances or rooms to the system and user behavior against those shall be recorded as well.
Scalibility:
Our system will start minimal and will let the user
control how much more he/she wants to add to it.
How are we going to do that?
We have observed that current systems are built
around one or a few nodeMCUs or arduinos etc.
Instead we will build around a Master Raspberry PI
and treat nodeMCUs as childs of the Pi and develop
user controls to add or deleted childs.
Compatibility:
Our system shall be compatible with already
prevalent home appliances and not require some
special electric equipment.
How are we going to do that?
By using NodeMCU and relays we shall make low
cost digital boards which can be installed right instead
of the “Button Boards” without any further wiring
changes. The relays just like buttons will be
connectable to any sort of electrical appliances.
Intelligence:
We are going to make all home appliances smart by
mimicking user behaviour after learning it.
How are we going to do that?
As we shall be using Raspberry Pi as our system’s
main brain hence we shall have enough resources to
make each of our appliance smart. User behaviour
against each appliance will be recorded and that will
be used to train models using machine learning
algorithms such as Reinforcement based learning.
Clould Control:
We are going to make the whole home controls
available over the web from anywhere across the globe
through the use of web app.
How are we going to do that?
Raspberry Pi shall be connected to the home wifi router
and act as a server. Further with storage attached we
can also build a personal file drive thus personal files
can be availed by the user anywhere in the world
safely and without storing them on any third party site.
Further with CCTV cameras attached, user shall be able
to remotely observe the happenings.
The system that shall be built will be of use to anyone who has a home. The system being
cheap can be installed by majority of households.
The systems can also be of great use to Estate Firms and build homes for end clients with
greater automation and better use of technology and thus have an edge over the competitors
by investing relatively lower amount. It has both hobbyist and professional applications.
Further if a main server is used then the need for Raspberry PI can be omitted and the system will be even more cheaper and accessible but that shall be our priority in Phase 2.
The built system hence also shall have commercial and investment benefits if properly funded and marketed.
All in all, the system is going to make life easier, more enjoyable, safer and more autonomous.
Technical Details of Final DeliverableFinal deliverable shall comprise of complete, smart system. It shall have the hardware pieces integrated and all softwares installed, up and running.
Web Interface shall be provided to view stats of the system or use the system in general. Along the web interface, mobile solutions shall also be delivered to enable quick access to the system. The final deliverable shall also provide the complete documentation of the system.
Final Deliverable of the Project HW/SW integrated systemCore Industry OthersOther IndustriesCore Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI)Sustainable Development Goals Responsible Consumption and ProductionRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 41890 | |||
| Raspberry Pi 4 | Equipment | 1 | 14000 | 14000 |
| Node MCU | Equipment | 5 | 650 | 3250 |
| 8 Channel Relay | Equipment | 3 | 600 | 1800 |
| MQ-x Gas Sensors | Equipment | 2 | 250 | 500 |
| Water Level Sensor | Equipment | 2 | 100 | 200 |
| Amp Sensor | Equipment | 5 | 350 | 1750 |
| Water Temp Sensor | Equipment | 2 | 200 | 400 |
| Touchscreen for Raspi | Equipment | 1 | 8000 | 8000 |
| Motion Sensors | Equipment | 5 | 250 | 1250 |
| Li-ion cells | Equipment | 12 | 120 | 1440 |
| BMS Boards | Equipment | 6 | 300 | 1800 |
| CCTV Camera | Equipment | 1 | 6000 | 6000 |
| Connectors, Wires, Solders, Tools etc. | Miscellaneous | 1 | 1500 | 1500 |