AI Autonomous and Incremental Deep Learning for IoT Systems

IOT is the abbreviation for Internet Of Things. IOT is a hot topic that is buzzing around and has gained relevance in today’s scenerio. Among tons of machine learning applications, IOT is among one of them. So what exactly IOT is? Before we discuss the topic in detail let us first equip ourselves about the concept of IOT.

What is IOT?

IOT is known as Internet of Things. It is a system of interconnected devices that share the real time information among them in a network. You may have heard of self driven cars, wearable fitness devices etc. These all are an example of IOT. Machine learning products provide you the solution that is affecting lives of million people.

How exactly IOT functions?

Well numerous devices having sensors are interconnected among themselves on a common platform known as Internet of Things. It helps in sharing data between the devices and provide the desired outputs. This helps in decreasing the gap between physical world and the digital networks. 

Take an example of a retail showroom. IOT can help retail showroom in following ways:

By using sensors, IOT can help to know that which the areas where customer is roaming the most are.

Moreover, by applying sensors in shelves of product counter, IOT can tell that which product consumers picked up, put down or buy the product.

IOT also helps in bridging the gap between supply and demand chain by determining that which product is in most demand and which is not.

Having ample knowledge about the IOT, now let us discuss about machine learning applications in IOT.

IOT in Smart Homes: Imagine how awesome it would be if you could turn on your AC before you reach home after a long working day. Or you house can recognise your voice and perform tasks according to your instructions like turning on off lights, turn on your coffee machine, make coffee for you. Life would be a lot easier.

IOT is helping in building such smart homes that can change our way of living drastically.

IOT in Weather Forecasting: IOT helps in weather forecasting by informing about the details of weather well before time. This has helped a lot in the agriculture sector. In this way farmers can take critical decisions like sowing, harvesting of crops.

Smart Wearable Gadgets: Today, market is booming with the wearable gadgets. You may have heard about fitness bands that keep a check on your heart rate, number of steps you have taken on a particular day, calories burnt count etc. These gadgets have become integral part of our lives.

IOT in Medical: IOT helps in building smart medical devices that are interconnected with each other. These devices provide all the information regarding to that patient. IOT helps in bringing huge amount of data together, process them and give information about various diseases of the patient.

It also keeps record of patient’s previous diseases and also the diseases to which the patient is prone to in upcoming future.

Self-Driven Smart Cars: IOT can help in building self driven smart cars. These cars require information about your destination. Rest, it will take you to your destination in time and without any driver. They can turn on/off AC, maintain temperature, look for obstacles. It also helps in avoiding collision with other cars also, making your journey safe and comfortable.

Face Recognition System: IOT helps in building face recognition system which can be a great security advancement. Many smart phones or security systems has used it for securing the systems. Moreover, emotional analysis of people can help in getting more information about the consumer reaction in a retail mall. In this way retailers can get an insight of the consumer behaviour and how they are reacting on the product.

IOT in Building Smart Cities: IOT helps in building smart cities by improving the transportation, water supply, electricity supply, water distribution etc.It does so by generating many solutions to the problems and choosing the best possible solution. Machine learning models helps in achieving this goal by building smart IOT solutions for the cities.

IOT solves many everyday issues that people face in day to day life like controlling traffic, finding parking spots, blockage in the drainage systems etc.

IOT in Financial Sector: As we all know that financial sector comprises of huge amount of data. This data needs to be processed and cracked down. This help in predicting the future trend of the market. This help in businesses to minimize the risk factor, determining consumer behaviour.

IOT in Animal Husbandry: IOT is also helping in the animal husbandry sector. For example in dairy farming, proper check can be kept on the cows like their weight, calories intake. It also inform about the sick animals so that they get recognised and proper treatment is given to them.

With the help of IOT, animal husbandry becomes easier and also health of animals is at check. Also by collecting large amount of data, milk production can be increased to many folds.

So we get to know about various applications of machine learning in IOT. And how IOT is affecting life of millions of people. IOT is one of the machine learning business applications that has gained momentum in past few years and is going to increase further in upcoming years.

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