by Learnow | Dec 31, 2020 | IoT |
Seems like one and all are talking about the Internet of Things (IoT) —it’s good, bad, and alarming along the lines of. It’s a hot topic!
But what actually is IoT?
Well, to put it simply, it can be defined as a concept and a giant network of interrelated computing devices over a single network. Home appliances, cars, and many other monitors can even be connected via this smart internet of things (IoT) technology.
From its inception to now, this smart technology and its implementation is bringing the next greatest industrial revolution in the IT world.In fact, having reviewed all the market responses and its working, it won’t be wrong at all, to consider this smart IoT technology as just a new beginning of machines taking over the world and people.
Did You Know????
- In the year 2017, there were more than 8.4 billion IoT devices that were connected via this technology. If we compare to this figure to that of 2016, there was a 31% boost. On the other hand, other reports anticipated that this figure is expectedly going to be 20.4 billion by the next year.
To show how fast this sector is rising, I’ve even rounded up the top 3 mind-boggling IoT facts.
The IoT is only going to grow. Just think of the incredible limitless job opportunities it brings for everyone in today’s time. Maybe, this can also be one of the reasons why IoT online course are in so much rage today!
Since, by now, you have got to know why and how it is ruling the world. Odds are now you might be wondering how this smart technology does actually work. Let’s know that!
How the Internet of Things (IoT) Works?
When talking about how do IoT works, the process starts with devices that have built-in sensors. Just like all other systems, IoT has its own steps and components. It won’t be wrong to mention it’s working as highly technical.
The whole IoT system is made up of 4 various components, sensors /devices, connectivity, data processing, and user interface to work all together to deliver the desired outcome.
Altogether, these platforms can clearly show what data is useful and what needs to be ignored. Too often, this data is used by organizations to make certain suggestions, detect some patterns, and know likely problems beforehand.
Let’s now know how each of them works.
- Sensors/devices – its job is to store all the data (be it of any nature) from the connected devices. Too often, to filter the sensitive changes in data, multiple sensors are used as a part of a device to sense valuable things. This way, the collection of every minute detail is done from the environment.
- Connectivity – once the data is gathered, it’s sent to an IoT platform via a medium (it can be through Ethernet, LAN, Bluetooth, Cellular networks, and other wired or wireless networking technologies). Each of these options has its own tradeoff components; choosing the one that can transmit data safely and quickly relies on your needs and its complexity level.
- Data Processing – by now, data is stored, thoroughly analyzed, and processed for better decision making. Now it is the time to use it to make instant and intelligent choices that make an ordinary device work as an exceptionally smart one.
- User Interface – it is the last step that notifies the user via a notification, text SMS or an email on their application. Depending on their personal choices, the user can either leave it or perform the desired action.
Learn the Internet of Things (IoT) & Make Your Future in It
Once you understand the IoT technology is not just an ordinary concept; it is a technology-enabled Network of all networks network, ruling the world, you will undoubtedly want to make your future in this domain. Well, why you wouldn’t be? After all, its applications are today used everywhere, be it home management, agriculture, smart retail, environmental protection, healthcare, and urban management, to name a few.
The thriving future is in IoT. Learning it and making a career in it is going to make a successful career ahead. So, what have you been waiting for? Join IoT training online and have a bright future.
If you want to build your career in the domain of the Internet of Things, you can join Learnow.live exclusive IoT training online course.
Enroll in our smart program and attend our IoT classes.
Contact us for more details.
by Learnow | Dec 4, 2020 | IoT |
The Internet of Things or the IoT refers to the growing network of technologies that connects and communicates via the internet to send and receive data in the absence of human-to-human or human-to-computer interaction. An embedded system is usually designed to support specific functions within a larger system like industrial control systems and machines, automobiles, military systems, automation, smartphones, etc. It is typically a combination of hardware and software, either fixed or programmable in function.
IoT is rapidly evolving, and it is believed that there will be about 50 billion IoT devices connected to the internet by 2030. Professionals are looking for the best IoT Course to learn the basic and advanced concepts of IoT. The IoT Training teaches about sensor programming on an embedded device, IoT device provisioning, and the trending wireless communication protocols like WiFi, Bluetooth, and transport protocols.
There are various IoT Online Courses available to cater to the industry’s growing demand and prepare the professionals through different IoT Certification Courses.
Why enroll in the Internet of Things Course?
Today IoT is expanding to all the industries that touch our lives every day, like appliances, apparel, toys, bicycles, etc. These are all equipped with microcontrollers, computer chips, sensors, etc., that collect and transmit data as programmed.
Students and job seekers are looking for extensive IoT Classes to benefit from the offline or online IoT Certification Courses. The courses not only help in the development of the IoT products but also help in working on the data generated by them.
Highlights of IoT Courses
Before you plan to invest your time and money in IoT Courses from any reputable and trusted platform like LearNow, it is essential to focus on the course highlights. The topics covered by the major courses are:
- Evolution and technologies in the IoT industry
- IoT embedded system programming, its sensors, and other components
- Design principles and methodologies
- Cloud architecture, primarily Azure
- Connectivity and programming of IoT devices
- Case studies related to privacy risks, cybersecurity, safety, security, and reliability
- Illustration and evolution of 5G myriad IoT applications
- Security laws
Anyone having a basic knowledge of Embedded Systems and C/C++ Programming, along with Dynamic Memory and File I/O Concepts or equivalent knowledge and experience, can easily take the IoT Course.
Hardware Pre-requisites for the IoT Courses
The microcontroller used for most of the courses is STM32 IoT Discovery Node 915MHZ – Mfg. Part # B-L475E-IOT01A.
It can be purchased from Digi-Key Electronics or other electronics dealers.
Learning Outcomes of IoT Courses
After the essential IoT Online Training, professionals can become proficient in the following domains:
- Identification of different components of IoT
- Comprehend the complexity of the IoT stack
- Programming embedded sensors and devices
- Provisioning, control, and management of embedded IoT devices in the cloud
- Analytics and management of sensor data
- Implement appropriate communication protocols and data format such as JSON
- Appreciation of 5G potential for IoT ecosystems
After completing this course, you can take other courses in the Embedded systems engineering certificate program for better job prospects and salary numeration.
Job Prospects after Successful Completion of the IoT Courses
The IoT relies heavily on the Embedded Systems and Technology through the World Wide Web. Computer hardware engineers have excellent career opportunities by 2025, as the industry is expected to reach USD 1256.1 billion.
To Sum Up
If you are all set to explore the ample job opportunities in the embedded technologies in the IoT domain, then you must take an elaborate and reputable IoT Online Course to become proficient. After taking the IoT Certification Courses from leading online portals like LearNow, you can surely get the best jobs anywhere in the world.
by LearNow | Apr 23, 2020 | IoT |
IoT or Internet of Things is a trending technology that has applications in many sectors, from security to farming. IoT can be defined as a network of devices that are interconnected with each other. The number of devices in an IoT network can be anywhere between 2 or 3 to hundreds. Sensor technology and automation are very important functions in IoT. In this blog, we will look into 20 real world Internet of Things examples.
Application 1: Connected Car
You would have read about cars that run by themselves in sci-fi books or watched them in movies. AI and IoT have made that dream a reality. Now, there are cars that can run by themselves. The self-run cars can work on voice commands transferred over a connected smartphone. They can also predict machine failure in the early stages or even before they happen. A smart car is capable of analysing obstacles and blocks and preventing accidents, but scientists are still not sure if smart cars can handle the traffic conditions on the road. Right now, connected cars are suitable for controlled environments.
Application 2: Smart Home
While talking about IoT applications, Smart Home is one of the first things that everyone talks about. A smart home IoT connects appliances used at homes such as washing machine, coffee maker, microwave oven, security system, air conditioner, and refrigerator, and even the lighting system and the door. You can control all the devices from your smartphone or computer system. The appliances can also be automated to start and stop at specific times. When you are going back home in the evening, you can activate the lights at home just as you get near to your house. You can also check if the door is locked or if the dishwasher is turned off right from the connected device. IoT Smart homes can help you save on electricity.
Application 3: Smart City
Smart City is a dream that can be made real with the help of IoT and artificial intelligence. This network can include water management, street lighting, electricity management, traffic management, waste management and more. By integrating sensors in buildings, we can detect wind pressure, seismic activities, and other natural factors to predetermine natural calamities.
Application 4: Precision Farming
Another of IoT’s applications is in precision farming. Data science tools can be used to collect and analyse data such as humidity, soil pH, weather conditions, rainwater availability, and lots more. The nutrients in the soil and its pH can be analysed to determine which plants will grow best. IoT can be used to remotely activate the water pump or turn it off while irrigating the fields. It can also be used to control the flow of water in drip irrigation. There are numerous other ways in which technology can be used to improve agricultural practises and enhance yields.
Application 5: Agricultural Drone
A drone can be used to survey large stretches of land to see if there are any problems such as rodent and pest attacks, evaluate the health of the crop and check if there is any water stagnation in the fields. Drones can also be used to spray fertilizers and weedicides in the field.
Application 6: Smart Grid
A Smart Electric Grid can be used to optimize electricity usage based on customer requirements. When the load is heavy, it can give recommendations to customers to reduce usage. In the case of electric failure, the electric grid can be programmed to reroute electricity.
Application 7: Connected Factories
A connected factory can be built using IoT. This technology can take over the job of a supervisor and still do more. The factory can be run round the clock with minimal human intervention as most of the tasks and transport are automated. The labourers can be asked to work on safe tasks while dangerous tasks can be handled by machines.
Application 8: Smart Retail
IoT can make shopping a more enjoyable experience for customers. There are many ways in which AI and ML can be applied in large retail outlets. Automated checkout counters reduce the need for long queues and allow customers to self-checkout their purchased items. The bill can be paid via digital payments. Sensors can be placed on the shelves, which will send notifications when the products are out of stock or if the stock has reduced. Automated inventory management makes it easy to manage product availability in the store.
Application 9: Supply Chain Management by IoT
Supply chain management is a complex process that involves many steps and human intervention in many areas. IoT can help streamline the supply chain management process, right from the procurement step to the delivery stage. Shipment tracking, inventory management, scheduling of product arrival and departure, and other processes involved in supply chain management can be automated and connected to ensure a seamless experience.
Application 10: Traffic Monitoring System by IoT
IoT can also be effectively used for traffic monitoring with minimal human intervention. The traffic signals across different roads can be connected and designed to change based on a specific algorithm. It will need human intervention only in cases when there is an ambulance movement or any other emergency. Surveillance cameras can be set up beside traffic signals or other parts of the road to monitor traffic. The videos captured can be studied to check for traffic violators or any other purpose.
Application 11: Forest Fire Detection by IoT
Remember the recent Amazon fire and that huge fire in Australia that destroyed millions of acres of forest cover, wildlife and even human life and property? In most cases, forest fires can be stopped if detected early. Different kinds of sensors such as temperature sensor, humidity sensor, soil moisture sensor, accelerometer sensor, ultrasonic sensor and others can be setup to track and identify minute changes in the environment. The data gathered by the sensors can be analysed to see if there are any indications for a forest fire. If so, precautions can be taken to prevent this natural calamity.
Application 12: Portable Water Quality Assurance
A survey shows that if the current rate of environmental pollution continues, then nearly one-third of the world population will not have access to good portable water. Sensors can be used to detect salinity, pH, turbidity, oxidation-reduction rate, and other parameters to determine the quality of water. The sensors can also be used to detect arsenic or lead poisoning at the early stages. IoT can be used to determine the quality of water in reservoirs to ensure that all residents get good quality water.
Application 13: Structural Health Monitoring
Structural health monitoring through IoT helps check the stability of construction at periodic intervals. Sensors can help collect data related to structure strain, vibrations, crack widths, moisture, and lots more. The data can be analysed to evaluate the remaining life of the structure.
Application 14: Radioactivity Monitoring
Nuclear power plants generate huge volumes of power. The downside is that there is always a chance for radioactive leaks, which can lead to very dangerous consequences. IoT applications can be used to continually monitor radioactive levels in the nuclear reactor and the surrounding regions. GM counters can be used to gauge the radioactive levels and send the data to the Cloud. A Node MCU and GPS can be used to detect the location from where the data was sent. All this information can be collated to identify risks at an early stage.
Application 15: IoT Controlled Golf Course
All IoT application examples are not just for environmental protection and individual safety. There are a few applications that are also used in sports, for example golf. There are many factors such as humidity, soil moisture levels, rainfall, and other conditions that determine the gameplay. Using sensors, all these factors can be monitored and updates sent to a connected device. The golf course can be neatly maintained based on this information. At the same time, this data can be shared with golfers, which will help them plan their game.
Application 16: IoT in Packaging Industry
Market studies determine that the packaging industry is set to grow by nearly 18% in the next year. This growth can be attributed to the fast development of the e-commerce sector and online shopping. As more products are being delivered to the doorstep, the demand for packages is also in the increase. IoT solutions can be used to automate certain processes in packaging manufacturing, which can reduce time, money, and human intervention. Digital labels can be affixed to packages to make tracking easy and efficient.
Application 17: Landslide Detection by IoT Application
Landslides are natural calamities that happen because of both human activity and natural phenomena. Landslides lead to loss of lives and property. Sensors can help determine soil moisture levels and soil movement, and send notifications with location details. The data can be analysed to predict possible landslides in a location. Preventive and precautionary action can be taken to prevent landslides, if possible or at least life and property.
Application 18: The Volume of Visitors Check by Smart Phone Detection
This application comes handy while monitoring large events where there is no limit to the number of visitors. IoT sensors can be placed at the entry, exit, and public transportation areas. The sensors collate data regarding the number of people and maximum people movement areas. This data can be analysed to calculate visitor’s volumes, average stay time, and people behaviour. The information can be used while planning other such events.
Application 19: Waste Management IoT Application
Waste management is a critical problem that governments all over the world are facing. There is so much waste being generated almost every day that managing it is a humungous task. IoT waste management involves setting up sensors on each bin placed in different locations across the city. When the waste is filled to a threshold level, a notification is sent to the connected device via Cloud. Based on the analysis of the notifications, the administrator can prepare a schedule for removing the waste from the bins.
Application 20: Urban Noise Detection
Noise pollution can be controlled by using IoT applications. Sensors can be used to detect noise levels in different parts of the city, and more so near hospitals, schools, and other regions. If the noise levels are higher than mandatory levels, then the requisite steps can be taken to reduce the noise.
Conclusion
IoT is bringing about a huge change in different sectors across verticals and horizontals. By properly using this emerging technology, we can change the shape of the future. Many leading companies have realised the importance of IoT and are investing in research and development in this field. The Internet of Things is a technology that is here to stay.
