How does the Internet of things work | IoT Examples | IoT Applications


Presentation Description

How does the Internet of things work? \ 1)Services 2)Connectivity 3)Data Processing 4)User Interface & Examples of Internet of Things Check out IoT Blogs: Register for IoT Training:


Presentation Transcript

slide 1:

How does the Internet of things work Examples of Internet of Things

slide 2:

How IoT works | IoT Applications | IoT Platform | IoT Examples

slide 3:

Internet of Things - four fundamental components. We have heard many things in fiction from the past. It includes our cars automatically choosing the least congested route to work or home automatic alarms smart homes that do what we want at just a single voice command and many more. These things don’t feel like fiction anymore and we can use these in our day to day activities now. All of these things come under the umbrella of Internet of Things. 1. Sensors/Devices: 2. Connectivity 3. Data Processing 4. User Interface

slide 4:

1. Sensors/Devices: • Sensors like RFID are present everywhere and these sensors collect very minute data from all their surroundings. This data can range from something as simple as the temperature to something much more complex such as video footage. • A device might also have a number of sensors which can act together to sense things or even go a step further from sensing things. For example your phone has a number of sensors like GPS accelerometer gyroscope and many other which it in turn manages together to do more than just sense things. • The function of sensors though will always remain the same as sensing things no matter whether the device has a single sensor or multiple ones.

slide 5:

2. Connectivity • This collected data from all the sensors is sent to the clouds where the data is stored and but this transfer requires a medium. These sensors can be connected to the cloud infrastructure via cellular networks WiFi Bluetooth satellite networks and many more. • Each of these connectivity mediums has some trade-offs and thus it is essential to pick the right medium.

slide 6:

3. Data Processing • Once the data reaches the cloud the cloud starts analyzing it. This data processing can be quite simple or elaborate depending on the type of data collected by the sensor. It can be something as simple as determining if the temperature is within limits or something complicated like identifying an object in a video footage.

slide 7:

4. User Interface • The final component is the user interface. All this collected information and its analysis must reach the end user for the user to act upon it. This is where the user interface comes into the picture. This user interface most often is either in a web browser or can be in as an app as well. This user interface shows you all the necessary data and also offers you options to make changes to the conditions. For example if the temperature of the AC is too high the app can let you adjust it to something more suitable.

slide 8:

Examples of Internet of Things • Wearable health devices – These devices are Internet of Things enabled and analyze all of our data in order to improve our lifestyle and health. • Smart Lock – Smart locks are Internet of Things enabled and offer an added layer of security and also improve the functionality. The improved functionality can be seen in the form of remote locking and unlocking of the smart locks. • Smart Mirrors – These smart mirrors can display the date the time the temperature and the weather predictions right on the mirror as you are looking into it. Another breed of smart mirrors is the one focused on fitness and exercise where you can pull fitness workouts from the Internet on to it and help you with them by mirroring what you need to do. • Connected Cars – These cars have improved remote functionality like pre-heating the car or pre-cooling it and even starting the car before you get in so that it is ready to go as soon as you step in.

slide 9:

• It’s right time to start career by Learning Advanced IoT Training with AWS Azure we cover beyond Core IoT fundamentals participants can explore future technologies including Cloud-based AI Big Data Machine Learning Deep Learning and unlike. • Stay tuned to learn more interesting things. Furthermore if you have any query feel free to ask in the comment section. Check out for IOT Training | IoT Training courses | AWS IoT Training:

slide 10:

Thank You