The Internet has made the whole world as one interconnected network. Social media platforms allow people from all parts of the globe communicate with each other. Job portals enabler recruiters to find talent in any part of the world. The internet has not just brought people into a network, but also machines. This technology is known as the Internet of Things.
1. What is IoT (Internet of Things)?
Internet of Things refers to the network of devices connected via the internet. It allows for real-time communication between machines without any human intervention. The earliest known reference to technology similar to what we now call IoT was discussions about using sensors to operate machines. They even tried to set up an internet-operated vending machine. But then the chips were large and technology was not so updated, so the concept was not successful. After many years, RFID technology was developed. This technology enabled wireless connectivity between chips. In 1999, Kevin Aston came up with the phrase “Internet of Things.” But then it took nearly 10 years for this concept to become a reality. As machine learning and artificial intelligence developed, IoT also started developing at a rapid pace. Now, many organisations and companies are adopting this technology as it has many benefits.
2. What are the benefits of the IoT?
Businesses can greatly benefit by using IoT. This technology can be used to create a seamless workflow in which repetitive tasks can be automated. In some cases, it can be integrated with data analytics. So, the ML-based application can use the data obtained by analytics to self-learn. Automating processes reduce process time and increase in quality. It also reduces the percentage of human errors.
Sensors can be integrated into the products when they are being manufactured. These sensors can transmit data regarding performance and other metrics. All this information can be used to enhance the quality of the product. At the same time, if the data indicates that any component of the product is likely to collapse or fail, it can be replaced at the earliest. These methods will enhance product quality and performance.
Supply Chain Management
Right data delivered at the right time is one of the most important factors for the success of a supply chain. IoT techniques and solutions can be used to build a network that connects warehouse, logistics, manufacturing unit, and destination company. The network will keep all the stakeholders informed regarding the location of the shipment via GPS. It enables efficient communication and coordination.
3. How IoT Works?
The four major components of an IoT network are sensors & devices, connectivity, data processing, and user interface.
Sensors or devices collect data from the environment around them. Depending on the size and the complexity of the IoT network, it can have just a few or a few thousand sensors. A simple example is a Smartphone that we use every day. It has sensors such as GPS, camera, accelerometer, fingerprint sensor, facial recognition sensor, and such. All these sensors capture the relevant data and pass it on to the processor, which then analysis the data.
The medium used to transfer the data from the sensor to the data processing unit varies from one IoT network to another. The various mediums of connectivity are Bluetooth, Wi-Fi, LAN, WAN, satellite network, cellular network, and wired communication.
The third component refers to the software application that processes the data obtained from the sensors. The data processing depends on the algorithm and the goals of the IoT application.
The user interface is where you get to see the results of the analysis. The user interface can be a dashboard, a text message, an alarm, a call or anything else that is used to give you the information.
4. Why Learn the Internet of Things?
Internet of Things is an emerging technology that is fast being adopted across various sectors. IoT applications are used in security, home management, agriculture, smart retail, smart grids, environmental protection, healthcare, and urban management, just to name a few. Skybell, Deako, Mymdband, Particle, and June are a few of the companies that are already producing IoT products. There are other large brands that are also exploring the applications of IoT and artificial intelligence. So, the future is in IoT. Learning the Internet of Things can help you build a career in this domain. Also, IoT professionals are the highest paid in the software domain. So, join IoT training online and upskill yourself and enhance your career prospects.
5. What are the Job Opportunities in Internet of Things?
There are numerous job opportunities available for freshers and working professionals in this domain. The top IoT careers are:
- Professionals in sensors and actuators
- Embedded programs engineer
- Software engineers
- AWS IoT engineer
- IoT architect
6. What is the Salary Package of Internet of Things?
The salary depends on various parameters such as experience, certification, graduation, performance, and the city of work. The average salary for freshers in this domain is around Rs 3.5 to 6 lakhs per annum. Mid-level professionals can expect an annual salary package of around 10 to 25 lakhs. Professionals in senior level positions can earn up to one million per year.
7. Who Can Join the Internet of Things Course?
Engineering students who have basic knowledge of computers and the internet can join the Internet of Things course to improve their career prospects. Working professionals who can take up this training are electronics or IT engineers, embedded developers, Cloud solution architects, and network engineers.
8. How to Learn IoT Through LearNow?
LearNow is a reputed training institute based in Bangalore that offers IoT training online. We follow a project-based learning methodology that focuses more on practical applications rather than theoretical sessions. Aspirants who take up our Internet of Things course will need to work on mini projects and a big project. There are many benefits that you will gain by enrolling in our IoT course. First is that you will be trained by experts who come with industry experience. Also, you get to work on real-time projects, which will help you easily adapt to the work environment. Finally, we offer placement support. Based on your overall performance and project, we can help you start your career in a reputed organisation.
If you want to build your career in the domain of Internet of Things, you can join our IoT training online. Contact us for more details.
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.
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.