Introduction:
Now we are entering into the new technological era where in near future most of the device will be 'Talking' with each other to improve the experience delivered by them. This is called as Internet of Things, it mostly deals with M2M communication.
Now we are entering into the new technological era where in near future most of the device will be 'Talking' with each other to improve the experience delivered by them. This is called as Internet of Things, it mostly deals with M2M communication.
Internet of Everything... it is the concept originated at Cisco. It is based on interaction of machines, data, processes, users, etc.. It is stylised as Internet of Things. The concept of Internet of Things was invented by and coined by Peter T. Lewis in 1985 in a speech he delivered at FCC supported conference.
Applications:
As of today IoT has evolved and along with machine learning it has found its application in many fields of work. It can be employed in ubiquitous computing, real-time analysis, sensor networks, fog computing, etc. IoT plays a major role in automation which involves communication between the sensors, actuators or output devices and compute module which might or might not be integrated. Also with the help IoT it is possible to have multiple compute modules which can help in faster computing and prediction. IoT plays a major role in 'modularization' in which all the components are spread across various areas of a process. For example consider a car, for instance, if pressure sensor is employed to measure tyre's pressure, it is obvious that it cannot use wire or any solid medium to transfer the pressure data, as tyre rotates. In this case if IoT module is employed to monitor the pressure then it is possible to monitor it as it is detached. This makes it modular. But it comes with another problem, it is not possible to open the tyre to recharge the module, so it is needed to make a solution that is power efficient and small so that it can fit into the tyre (in this case). Similarly it plays a major role in industrial automation where the sensor can communicate wirelessly with the sensor hub. But here there is another problem associated with the sensor network, how many sensors can connect to the hub? The best solution can be unconnected network which can just send data into space and the computer can receive it anytime. But with this another issue can be addressed, Security!, this makes it complicated. Well this technology is still under development...
Energy Management:
IoT can be implemented in energy management, for example smart metering, where the power is monitored and communicated to board of electricity. Now if machine learning is implemented along with IoT, it can also analyse and suggest user to take necessary action depending on the situation.
Also with the smart metering concept there is another idea where energy can become an entity which can be traded by the one who produces. Smart grids use the similar concept.
Home Automation:
IoT can also be implemented in home automation, consider if the electrical appliances could be controlled wirelessly with the mobile handset or via browser of laptop or any devices with access to internet. Imagine if your home can talk to you and inform or alert you about the grossary in home, if it can wake you up in the morning, if it can manage power consumption intelligently and many features can be put into. All this is possible with the efficient machine learning and IoT solutions.
Medicine and Healthcare:
Medical and healthcare can also implement IoT. Imagine if your doctor can monitor your vitals sitting far from you and treat you in case of any illness or any mishaps. With the help of IoT we can even monitor the ambulance services such as the volume of oxygen in the cylinder, functionality and health of the equipment, location of vehicle, etc.. Also by tracking the location of ambulance it possible to inform the nearby travellers to give path for it to go.
Weather Monitoring and Prediction:
Weather is the most dynamic and quickly changing property if atmosphere. In order to predict it we need to have weather samples from all over the Earth. However it not possible to place a weather station everywhere. But with IoT, Machine Learning and Modularization it is very much possible for an individual to buy or make a weather station.
All the weather data distributed over the globe can be acquired and weather can be predicted by miniature compute modules.
There are more number of applications where IoT can be helpful than the current world has discovered.
How to implement?
Now question arises how do we implement it.
IoT means enabling any device to connect to other device and access desired and shareable data. It can be done by using TCP/IP, Bluetooth, ZigBee, LoRA, WiFi, RF, etc.. However if its wireless it should consume low power supply, larger coverage area, sufficient speed.
Future Scope:
IoT along with Machine Learning will become best combination for automation and imparting devices intelligence. As of now IoT as well as Machine Learning are still developing. Industrial giants such as IBM, Google, Amazon, etc. have already made systems that are capable of answering your questions and analysing the user's patterns continuously, however they are not 100% perfect. So there is a large scope for the development in these fields. Already many organisation have diverted their funding for development in these fields.
Machine Learning, IoT and upcoming innovations in Quantum computing can become the best solution for automation and devices with intelligence.
Back to IoT & ML Page
Applications:
As of today IoT has evolved and along with machine learning it has found its application in many fields of work. It can be employed in ubiquitous computing, real-time analysis, sensor networks, fog computing, etc. IoT plays a major role in automation which involves communication between the sensors, actuators or output devices and compute module which might or might not be integrated. Also with the help IoT it is possible to have multiple compute modules which can help in faster computing and prediction. IoT plays a major role in 'modularization' in which all the components are spread across various areas of a process. For example consider a car, for instance, if pressure sensor is employed to measure tyre's pressure, it is obvious that it cannot use wire or any solid medium to transfer the pressure data, as tyre rotates. In this case if IoT module is employed to monitor the pressure then it is possible to monitor it as it is detached. This makes it modular. But it comes with another problem, it is not possible to open the tyre to recharge the module, so it is needed to make a solution that is power efficient and small so that it can fit into the tyre (in this case). Similarly it plays a major role in industrial automation where the sensor can communicate wirelessly with the sensor hub. But here there is another problem associated with the sensor network, how many sensors can connect to the hub? The best solution can be unconnected network which can just send data into space and the computer can receive it anytime. But with this another issue can be addressed, Security!, this makes it complicated. Well this technology is still under development...
Energy Management:
IoT can be implemented in energy management, for example smart metering, where the power is monitored and communicated to board of electricity. Now if machine learning is implemented along with IoT, it can also analyse and suggest user to take necessary action depending on the situation.
Also with the smart metering concept there is another idea where energy can become an entity which can be traded by the one who produces. Smart grids use the similar concept.
Home Automation:
IoT can also be implemented in home automation, consider if the electrical appliances could be controlled wirelessly with the mobile handset or via browser of laptop or any devices with access to internet. Imagine if your home can talk to you and inform or alert you about the grossary in home, if it can wake you up in the morning, if it can manage power consumption intelligently and many features can be put into. All this is possible with the efficient machine learning and IoT solutions.
Medicine and Healthcare:
Medical and healthcare can also implement IoT. Imagine if your doctor can monitor your vitals sitting far from you and treat you in case of any illness or any mishaps. With the help of IoT we can even monitor the ambulance services such as the volume of oxygen in the cylinder, functionality and health of the equipment, location of vehicle, etc.. Also by tracking the location of ambulance it possible to inform the nearby travellers to give path for it to go.
Weather Monitoring and Prediction:
Weather is the most dynamic and quickly changing property if atmosphere. In order to predict it we need to have weather samples from all over the Earth. However it not possible to place a weather station everywhere. But with IoT, Machine Learning and Modularization it is very much possible for an individual to buy or make a weather station.
All the weather data distributed over the globe can be acquired and weather can be predicted by miniature compute modules.
There are more number of applications where IoT can be helpful than the current world has discovered.
How to implement?
Now question arises how do we implement it.
IoT means enabling any device to connect to other device and access desired and shareable data. It can be done by using TCP/IP, Bluetooth, ZigBee, LoRA, WiFi, RF, etc.. However if its wireless it should consume low power supply, larger coverage area, sufficient speed.
Future Scope:
IoT along with Machine Learning will become best combination for automation and imparting devices intelligence. As of now IoT as well as Machine Learning are still developing. Industrial giants such as IBM, Google, Amazon, etc. have already made systems that are capable of answering your questions and analysing the user's patterns continuously, however they are not 100% perfect. So there is a large scope for the development in these fields. Already many organisation have diverted their funding for development in these fields.
Machine Learning, IoT and upcoming innovations in Quantum computing can become the best solution for automation and devices with intelligence.
Back to IoT & ML Page
Enlightening insights
ReplyDeletethanks a lot bud!
ReplyDeletegood article.keep it up.
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