With today’s modern life, surely at least once you have heard of the concept of IoT, also known as the Internet of Things. The strong development of information technology has made IoT an extremely important element of all future technology forecasts. In addition to IoT, AI is also a developing technology in the future, specifically an AI image recognition application that helps analyze data and bring accurate results to users. To better understand what IoT applications and AI image recognition applications are, please learn with Airtechnews in this article!
I. IoT Application
1. What is IoT?
The full name of IoT is Internet of Things. That is, the network of things connected to the Internet. This is one of the factors that play an important role in the 4th industrial revolution of the whole world. IoT applications not only give people a larger, more complete view of the modern technology and applications of the future, but also offer incredible application potential. IoT refers to the many physical devices in the world that are connected to the Internet, collecting and sharing data. IoT allows people to communicate without being directly involved in the process. Thanks to the processor inside the same wireless network, you can make everything more proactive and intelligent.
We can see IoT from automatic door systems to airplanes to self-driving cars that have become a ubiquitous part of IoT. This adds a level of digital intelligence to passive devices, allowing them to communicate real-time data without human involvement, effectively merging the digital and physical worlds.
2. Benefits of IoT in Business
Benefits for business
The benefits of IoT for business depend on the specific implementation, but it is important for businesses to have access to more data about their own products and their own internal systems and capabilities. greater change potential.
Manufacturers are adding sensors to product components so they can pass back data on how they are performing. This can help companies spot when a component is likely to fail and swap it out before it causes damage. Companies can also use the data generated by these sensors to make their systems and supply chains more efficient, because they will have much more accurate data about what is really happening. out.
Enterprise use of the Internet of Things can be divided into two segments: industry-specific services such as sensors in power plants or real-time locators for healthcare; and IoT devices can be used in all industries, like smart air conditioners or security systems.
Benefits for consumers
The Internet of things promises to make our environments (homes, offices, and vehicles) smarter, more measurable, and better. Smart speakers like Amazon’s Echo and Google Home make it easier to play music, set timers, or get information. A home security system makes it easy to keep an eye on what’s going on inside and out or to see and talk to visitors. Meanwhile, smart air conditioners can help us heat our homes before we get back, and smart bulbs can make it look like we’re at home even when we’re out.
Looking further, sensors can help us understand how noisy or polluted our environment is. Self-driving cars and smart cities can change the way we build and manage public spaces.
However, many of these innovations can have a major impact on our individual privacy.
II. AI image recognition application
1. What is AI Image Recognition?
As part of computer vision, AI image recognition is the art of detecting and analyzing images with an engine to identify objects, places, people, or things visible in the natural environment. nature of a person. In the end, the main motive is still to perceive objects like the human brain. AI image recognition aims to detect and analyze all of this and draw conclusions from that analysis.
Even so, computer vision is a broader term that includes methods of collecting, analyzing, and processing data from the real world to machines. Image recognition AI analyzes each pixel of an image to extract useful information similar to what humans do. AI cameras that can detect and recognize different objects are developed through computer vision training.
2. How does AI image recognition work?
Humans recognize images using natural neural networks that help them identify objects in images learned from their past experiences. Similarly, artificial neural networks work to help machines recognize images.
In an AI neural network, there are many layers of neurons that can influence each other. And the complexity of the structure and architecture of the neural network depends on the types of information required. AI image recognition is more complicated than you think because it takes a lot of things like deep learning, neural networks, and complex image recognition algorithms to make this possible for machines.
3. How does AI recognize images?
While recognizing images, different aspects are considered to help AI recognize the object of interest. Let’s learn how and what kind of things are defined in image recognition.
Face recognition using AI is one of the best examples where a facial recognition system maps different attributes of a face. And after collecting such information the same processing process to detect the match from the database.
Smartphone manufacturers today are using facial recognition systems to provide security to phone users. They can unlock their phone or different apps into their device. Even so, your privacy may be compromised as your data may be collected without your concern.
But with time such problems will be solved with more improved datasets generated through landmark annotation for face recognition.
Image recognition is done to recognize the object of interest in that image. Visual search technology works by recognizing objects in images and searching for similar objects on the web.
Text detection is useful for OCR transcription, where text is extracted from an image and made available to other users such as text classification or text annotation to generate data sets for develop NLP-based machine learning models.
Likewise to recognize a certain pattern in a painting, image recognition is used. Like facial expressions, textures or body actions taken in different situations.
IoT applications in modern life
IoT is widely applied in many areas of life from housing, transportation, businesses, healthcare, etc., and here are 10 examples of the most IoT applications in life:
Whenever we think about IoT systems, the most important, effective and prominent application that comes to mind is Smart Home – the highest ranking IoT application across all channels. Intelligence increases every month with about 60,000 people and the number shows no sign of stopping.
Also interesting is the smart home database for IoT Analytics which includes 256 companies and startups. More companies are now actively involved in smart homes than other similar applications in the IoT field.
The estimated funding for Smart Home startups has exceeded $2.5 billion and is growing.
Products that can be worn
Just like smart homes, wearables are still a hot topic among potential IoT applications. Every year, consumers around the globe are waiting for the release of Apple’s smartwatch. In addition, there are many other wearable devices that make our lives easy like the Sony Smart B Trainer, or the LookSee bracelet, the gesture control Myo.
A smart city
Smart city as the name suggests is a huge innovation and spans many use cases, from water distribution to traffic management, waste management, environmental monitoring and urban security. The reason why it is so popular is that it tries to eliminate the discomfort and problems of the people living in the city.
The IoT solutions offered in the Smart City area solve city-related problems including traffic, reduce air and noise pollution, and make cities safer.
Smart grids are another area of application that is also quite prominent. The smart grid basically promises to extract information about the behavior of electricity consumers and suppliers in an automated way in order to improve the efficiency, economy and reliability of electricity distribution. The 41,000 monthly Google searches are testament to the popularity of this concept.
Connected Health (Digital Health / Telehealth / Telemedicine)
IoT has various applications in healthcare, from remote monitoring devices to advanced and intelligent sensors for device integration. It has the potential to improve the way doctors care for and keep patients safe and healthy. Healthcare IoT can allow patients to spend more time interacting with their doctors so it can drive patient engagement and satisfaction. From personal fitness sensors to surgical robots, IoT in healthcare delivers new tools that are updated with the latest technology in the ecosystem to help develop better healthcare.
IoT helps revolutionize healthcare and provides pocket-friendly solutions for patients and healthcare professionals.
Smart warehouse with IoT application
Smart warehouse is an application of IoT, which is one of the locations that can quickly resolve the amount of goods in stock, optimize space and order placement in the warehouse. Besides, employees can easily control and know the quantity of goods in stock, where they are located, etc. This can bring very high work efficiency to warehouse staff.
Not only that, smart warehouses also help users reduce warehousing costs, the cost of arranging personnel to periodically check inventory, etc. In addition, the warehouse also helps businesses optimize the warehouse system intelligently, minimizing costs.
Smart retail store
IoT technology has now been incorporated into most retail store systems, helping employees to accurately identify product prices, whether this item is still available or out of stock so that they can promptly replenish goods. In addition, IoT also helps writers to advise customers more accurately about the store’s business items. With a smart store, surely, the store will bring greater efficiency and increase customer satisfaction when visiting.
IoT application in high-tech agriculture
Today’s IoT is not only developing strongly in life and industries, but they are also prominent on agricultural lands and people. At this time, people mainly use sensors, program automatic irrigation, switch off the sun or other applications in growing crops by automatic irrigation pump hydroponics method, ….
Smart supply chain
Supply chains have gotten smarter over the years. Providing solutions to problems such as tracking goods while they are on the road, in transit, or helping suppliers exchange inventory information are some of the popular services.
With an IoT enabled system, factory equipment contains embedded sensors that transmit data about various parameters such as pressure, temperature, and machine utilization. IoT systems can also handle workflow and change device settings to optimize performance.
Smart farming is an often overlooked IoT application. However, given the number of farming operations that are often remote and the large amount of livestock that farmers work with, all of this can be tracked by the Internet of Things and could also revolutionize the way farming is done. working people. IoT applications in agriculture can be easily seen in countries such as Japan, Korea, the US, etc. In developed countries, the application of technology to farming helps farmers easily monitor their farms. and help them save a lot of time and labor costs. For example, the IoT application in watering farmers can water the plants remotely through the phone, or the sensor light system is also controlled remotely with the smart phone,
IoT application and AI image recognition application is one of the technologies that will develop and replace a lot of activities in all fields in the future. With the benefits that IoT and AI bring to many fields from business to healthcare, etc., all fields will have IoT and AI involved and create more productivity. Investing in IoT and AI right now will help businesses save a lot of costs and create long-term profits for businesses.
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