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There are multiple sectors like manufacturing, smart homes, automotive, oil, and gas, etc. are implementing systems based on IoT to provide better services to people and improve processes and their efficiency.
In this regard, machine learning plays a key role in the development of Internet of Things solutions. When it comes down to IoT, all of the machine learning actually happens on the cloud. It is made quite possible by concepts like predictive engines or also known as rule-based engines.
The node or the end device will collect data from various sensors and send it directly to the cloud using best-suited communication modules.
Then, the “engine” will receive the sensor data and then make a decision on what to perform, and with this particular decision, goes on to control other devices. All of this is done without any human interference. Such Artificial Intelligence solutions also decrease the cost of maintenance and human labour.
There are widespread examples of Machine Learning with IoT. Different types of applications, as well as smart solutions, exist because machine learning is the keyway among these computation commercials and industrial applications to IoT.
Let’s go through a few of the most interesting project ideas which combine both of them. Some of them are:
1. Smart Energy
Machine Learning with IoT technologies is often utilized for saving energy. The best example is that quite understandable to all is machine learning and IoT in our own kitchen, the coffee machines to be more specific.
It is actual IoT implementation of the entire machine learning architecture for the reduction of energy consumptions.
One of the Internet of Things solutions is an electric adapter within different everyday applications to avoid the replacement, which makes them much more sustainable devices and hence avoids the growth of electronic waste.
A cloud-based infrastructure that aims to allow the different eco-aware appliances to entirely approximate energy consumption to their actual optimal efficiency. In the coming years, this type of energy-saving implementations of machine learning with IoT developed by IoT app development company may even be utilized in other types of products like air conditioners and lights.
2. Intelligent Routing
The combination of IoT sensors, along with machine learning algorithms systems are used for predicting traffic jams and also making routes to the particular destination point.
Among the most common examples of these systems like Google Maps as well as other in-car GPS systems. But in the future, with the machine learning model of IoT sensors developed by IoT app development company for the city streets and using it actually to predict the future, it can be done within few minutes or even in few seconds.
This is a perfect solution for real-time path-finding as well as traffic prediction. Even though it is effective and good, it is quite expensive.
Read the blog- How you can Transform Your Business with Microsoft Azure IoT
3. Smart Home Security
Smart homes enabled with IoT would be very much protected with a machine learning system that will be aiming to actually monitor the incoming as well as outgoing IoT device traffic to create a certain profile that determines the exact normal behaviour of the entire IoT ecosystem.
Having done that, the system will be essentially allowed for the detection of threats and sending alarms to devise owners to warn them about any suspicious behaviour and potential risks.
4. Smart Parking
In today’s world, the problem of car parking in big cities have become quite a disaster. Most of the traffic is essentially generated by drivers who are looking for places to park.
With the assistance of smart IoT devices along with the power of machine learning, the entire process of parking will become swifter and easier. The system will actually search and even locate empty spaces and then direct the drivers towards them. It will assist in making most of the current cities’ existing infrastructure, actually cutting down the entire congestion and even reduce auto emissions.
An AI development company can provide the necessary solutions with the implementation of Machine Learning to IoT devices.
5. Smart Energy Management
As we have already discussed how machine learning-enabled IoT can transform the energy sector, there are several aspects of energy management that can easily be changed and improved.
Reduced carbon emissions as well as saving money on the utilities is quite easy with the great combination of machine learning with the IoT devices. These systems allow monitoring as well as controlling the energy using the IoT sensors. It is easier to monitor the energy usage of heating, lighting, air conditioner, elevators, fire-safety systems with the smart building energy management system.
6. Predictive Equipment Maintenance in Industries
When various crucial parts of any manufacturing process are directly interconnected in an IoT network along with a central system that runs a machine learning or big-data system which is able to process the data, then great things can certainly happen.
For instance, the entire replacement of the consumables can easily be planned much more effectively to the actual point of automatic checking of the stock level of the consumable as well as the purchase of additionals, in case it is necessary.
Also, even the planning system can easily communicate that a particular valley of production is now approaching. Hence it is a better idea to use the present idle time actually to conduct different maintenance operations.
Conclusion
IoT has a lot to offer to the different industrial and commercial sectors. With the aid of machine learning, it can provide break-through solutions for a smart energy management system, smart home security, smart retail shops, predictive equipment maintenance in industries, intelligent traffic routing, etc.
However, you might wonder if these two can be successful without each other or not. Well, yes, as one can easily utilize machine learning systems to actually execute tasks on the currently existing data, but at the same time, IoT generates a vast amount of data.
However, in order to effectively turn this entire data into actions and insights, machine learning will always be necessary. For developing Internet of Things solutions, machine learning will definitely be needed.
Both of them can work as well as shine together.
