The Fourth Industry And The Universal Virus Are The Beginning Of A Great Transformation

The coronavirus acts faster than humans and spreads on a large scale. Humans have been defenseless against the virus, especially in the months leading up to the spread, and have not been able to slow down the spread of the virus promptly.

It did not take long for us to use all the tools at our disposal, which we thought would be effective, even on paper and in theory, in defeating the disease.

From artificial intelligence to mobile technologies and even cloud and quantum computing. Many of the technologies used in recent months to combat the new coronavirus fall under the heading of a relatively new concept: Industry 4.0. 

The Fourth Wave of Industry or Industry The fourth version offers a wide range of features that have been talked about for years. Some critics see the idea of ​​industry 4 as a marketing ploy that industrialized nations have used to sell their automation and intelligent products.

But now, in the age of Corona, Industry Four has found the opportunity to help in a practical and sensitive field, to test its capabilities, and to determine whether it can satisfy its critics by winning in this field.

Following the outbreak of Covid 19, the world has faced unprecedented conditions.

The strong demand for medical equipment and pharmaceutical items, on the one hand, and the unprecedented need for information technology, on the other, have posed great challenges for policymakers and ordinary people.

Under these circumstances, the fourth version of Industry (Industry 4.0), known as the Fourth Industrial Revolution, has revived many hopes of meeting these challenges (Figure 1).

After the era of industrialization with the power of water and steam and electricity and the era of computer automation in the fourth version of the industry, we have entered the era of autonomous and intelligent industrial machines that are powered by a lot of data and equipped with machine learning.

Although some believe that the term industry 4 is a marketing ploy, the traces of this revolution in industry and production can be clearly seen.

Industry 4 is in fact a continuation of the path taken by Industry 3. Computers are now connected and able to communicate with each other.

In industry, 4 industrial intelligent machines can make decisions without the need for human intervention.

The combination of cyber-physical systems, the Internet of Things, and the Internet of Things will be the driving force behind industry 4, making the smart factory a reality.

Access to data and the possibility of better management and use of them will bring more productivity in production.

Figure 1 – Industry 4 is referred to as the fourth industrial revolution. 

Treatment for a virus

Industry 4, which is a collection of different technologies, has the ability to help in crises such as the outbreak of Covid 19 and with advanced production processes and digital technologies, make the conditions for overcoming this crisis easier.

Although the title of Industry 4 may be unfamiliar to many people, the subfields of this industry are widely used in everyday life, and this has caused many professionals and ordinary people to be subconsciously involved with Industry 4.

Artificial intelligence, the Internet of Things, metadata, virtual reality, 3D scanning, and 3D printing technologies, cloud computing, and automotive robots, and even biosensors are the industry.

 The technologies used during the new Corona outbreak have even worked in many cases.

 Assist in diagnosis and treatment, expedite the preparation of preventive items such as masks and gloves, strengthen the supply chain, achieve faster drug delivery, digitally monitor the situation in cities and remote areas, use robots to treat patients, and reduce risks to health care providers.

Use of virtual reality, use of digital technologies for telecommuting during quarantine, identification of unusual information in media and cyberspace, and better assessment of the risks and public health status of the virus, remote monitoring of healthy and infected people, and overall control of the outbreak Unbridled disease is one of the benefits of industry 4.

We will look at some of these technologies below and talk a bit about their role during the Covid 19 outbreak.

Artificial intelligence

Artificial intelligence technology is one of the most promising solutions to overcome Covid 19. Linking artificial intelligence and machine learning with machine vision and natural language processing enables computers to use macro-based models to identify, describe, and predict patterns. In the last few months, a lot of meaningful data has been generated about Covid 19.

Artificial intelligence and machine learning enable us to better understand the relationship between this data, assess pollution risk, and monitor the population effectively.

Clinical trials to find drugs and vaccines for the disease can be optimized using artificial intelligence, artificial intelligence to help develop robots, and tasks such as disinfecting sites or remotely examining individuals (Figure 2).

The use of this technology has limitations, the most important of which is the lack of data.

Machine learning, followed by artificial intelligence, can emerge in a crisis such as the Covid 19 outbreak with the power to connect to big data, but in practice, the amount of usable data is not enough.

Although a lot of data is generated in the world and we are faced with the terms “data sea” and “big data”, in many cases, the available data is out of bounds and out of bounds.

 Artificial intelligence can predict the prevalence if it has the right data and can be effective in minimizing or even stopping the spread of the virus.

 On the other hand, artificial intelligence can play a role in identifying and targeting incorrect information that is published on social networks about Covid 19 and thus be significantly effective in reducing the volume of outdated data.

Although a lot of data is generated in the world and we are faced with the terms “data sea” and “big data”, in many cases, the available data is out of bounds and out of bounds.

Artificial intelligence can predict the prevalence if it has the right data and can be effective in minimizing or even stopping the spread of the virus.

On the other hand, artificial intelligence can play a role in identifying and targeting incorrect information that is published on social networks about Covid 19 and thus be significantly effective in reducing the volume of outdated data.

 Although a lot of data is generated in the world and we are faced with the terms “data sea” and “big data”, in many cases, the available data is out of bounds and out of bounds.

Artificial intelligence can predict the prevalence if it has the right data and can be effective in minimizing or even stopping the spread of the virus.

On the other hand, artificial intelligence can play a role in identifying and targeting incorrect information that is published on social networks about Covid 19 and thus be significantly effective in reducing the volume of outdated data.

Figure 2 – Artificial intelligence has made it possible to analyze medical images and identify cases of Covid 19 disease. 

Internet of Things

The Internet of Things is an automation solution that has led to huge growth in automation, resource management, and the like. The Internet of Things is a network of devices and gadgets that can communicate and exchange information and data over the network, providing us with an efficient computing option by collecting, transmitting, analyzing, and storing data.

Data collection is made possible by sensors installed in mobile phones and robots and the like.

The collected data is sent to cloud servers for analysis and decision-making. With the spread of Covid 19, the Internet of Things has also emerged as a practical and appropriate solution.

 Applications of this technology are also diverse in this area. From the use of drones to monitor quarantine performance and ensure that pedestrians wear masks to track the source of the outbreak and assess the contact of healthy and infected people.

On the other hand, with the help of the Internet of Things, medical staff and physicians can remotely assess patients who are hospitalized at home.

Big data

Metadata-based analysis methods are very suitable and effective for tracking and controlling the global spread of diseases such as Covid 19. Such technologies make it possible to store large volumes of data on patients with the disease and are very effective in analyzing and predicting the disease and the extent of the Covid19 virus.

In this case, decisions can be evaluated and corrected very quickly and in an instant. Microdata helps save lives and find effective treatments.

 Covid Trackers instantly collects data from sources around the world, giving scientists, doctors, epidemiologists, and policymakers access to the latest information, which will help make more informed decisions about the virus (Figure 3). ).

Figure 3 – Graphen startup uses genetic data collected from the Covid 19 virus to visualize the evolution of the virus in the world. 

And Virtual reality creates an environment in which the user can be creative in a safe environment.

 Using Virtual reality technology enables real-time collaboration with each other in a simulated environment.

 Ability to achieve organizational superiority during the Covid 19 outbreak (Figure 4).

Using virtual reality technology during the Covid 19 outbreak is a great way to hold remote meetings. The most important advantage of using such technology in video chats is that people feel gathered in one place without having to travel to attend meetings.

Virtual reality increases efficiency and makes it easier for people to attend meetings by transforming teamwork and reducing travel costs.

 As a result, in an era like the current one where Covid 19 has expanded, virtual reality is a prime tool for communicating with others and doing group work in a secure environment.

Figure 4 – Virtual reality technology allows you to attend business meetings in absentia. 


Holography is three-dimensional photography and allows us to create three-dimensional views of landscapes so that we can change the perspective of images as desired.

The hologram allows us to reconstruct an accurate three-dimensional image of the original object. The above approach allows companies to hold their meetings virtually (Figure 5).

 With this technology, businesses can introduce new products and market them, find new customers, and shape their brands.

Digital holographic technology adds new possibilities to live events and conferences, ensuring that speakers, staff, and customers attend meetings and conferences without being exposed to the disease.

 It’s like the participants being at home and in their office and appearing on stage virtually.

 Thousands can join this live broadcast at the same time.

Today, with the advancement of technology, the realism and credibility of holography have increased. During this period, the outbreak of Covid 19 disease, which has forced company employees to stay at home, technologies such as holography have become increasingly important.

Figure 5 – Holographic technology offers us other options for in-person meetings.

cloud computing

Cloud computing is a digital technology that enables the provision of computing resources such as servers, storage and databases, and artificial intelligence over the network.

This technology provides applicants with easier access and more flexibility, on the one hand, it reduces the costs of using the computer for the applicant, and on the other hand, it increases the efficiency of setting up and using the computer infrastructure.

 The benefits of cloud systems have become increasingly apparent in situations such as the outbreak of Covid 19.

 In this age of quarantine, people with cloud-based tools such as Amazon’s AWS, Microsoft’s Azure, or Google’s Cloud can perform many of their daily tasks and even work and leisure. Cloud computing helps in many ways to combat Covid 19.

Self-propelled robots

Self-propelled robots can perform tasks without human supervision. For example, they can be used to gather information from the environment.

 They can be employed for a very long time and entrusted with tasks that are dangerous for humans to perform (Figure 6). In the event of a Covid 19 outbreak, these robots could be used to monitor citizens’ compliance with the law or to be used in hospitals.

Figure 6 – Robots can be entrusted with many high-risk tasks such as disinfecting passages or monitoring infected people.

3D scanning

Using 3D scanning technology, a 3D model can be made from an object without the need to contact it and sent to a computer in the form of a 3D file. This technology is widely used in the reverse engineering process.

 In medicine, this technology allows the preparation of three-dimensional models of different organs of the body.

Using a 3D scan result, the object can be digitally evaluated and evaluated on a computer without the need for possession. A three-dimensional medical scan is used as a way to assess the lungs and diagnose Covid 19 disease.

Virtual reality applications, motion capture, robotic mapping, and industrial design are some of the other applications of 3D scanning technology.

3D printing

The use of 3D printing to produce custom parts in the medical field is booming these days. With the help of this technology, optimized and modified versions of the product can be created in less time and cost compared to the usual methods.

For example, 3D printing technology can be used in the design and development of parts of artificial respiration devices that are much needed these days, or in the preparation and supply of items needed to prevent Covid disease.

 Even 3D printing technology has been used to make the mask.

Surgical masks and N95 are not environmentally friendly, but masks made by 3D printing can be used multiple times.

A mask called NanoHack is being developed in 3D printing, and the designers claim that the mask is recyclable and reusable (Figure 7).

Figure 7 – An example of a NanoHack open-source mask made with 3D printing. 


Biosensors are used to convert biological signals into electrical signals. Optical, thermal, piezoelectric, and electrochemical sensors are among these sensors.

 Biosensors have found applications in a variety of fields, including medicine, the food industry, and the marine field. They are stable and sensitive.

 In biological warfare, these sensors can be used to protect soldiers or in the form of wireless devices in environments such as hospitals.

 During the Covid outbreak, 19 devices equipped with biosensors that have good sensitivity, price, and accuracy can be used. Blood glucose monitors are biosensor-based instruments used in clinical trials and to diagnose diseases.

The four corona industry

BlueDot, a Canadian artificial intelligence platform, warned of the outbreak nearly nine days before the World Health Organization formally confirmed the presence of Covid 19.

This is one of the examples of the power of artificial intelligence in a situation where man is unaware. The power that must be taken seriously. During the outbreak, artificial intelligence also helped to manage the burden of the disease.

Aside from privacy concerns, the analysis of personal data, travel and clinic data has made accurate predictive modeling possible. In addition, artificial intelligence can help in the production of tools such as Internet chat software bots.

 Several artificial intelligence models have been used in China that are faster than humans at recognizing and interpreting the results of medical images, thus compensating for the lack of specialized staff in clinics.

 On the other hand, China, with the help of robots and drones, reduced the level of contact between people.

Countries such as China, South Korea, and Taiwan are just a few examples of countries that have managed to reduce the impact of Covid 19 using metadata, artificial intelligence, and other advanced technologies.

 Cloud platforms have also contributed to social distance by providing online classrooms.

 The use of drones and robots to deliver medical items to medical centers and medicine and food to patients is also among the assistance of industry 4. Taiwan, which has managed to manage the burden of the disease, has used methods that are widely based on data.

Using the benefits of big data, they have been able to create a detailed database and use it, along with airport monitoring protocols, to track and predict pollution risk.

Mobile tracking has also been used to ensure that high-risk people follow home quarantine.

Apple and Google have worked on using Bluetooth technology to track contact between people. Covid diseases’s changed the way we live, work, and interact with those around us in the blink of an eye.

Creating a dynamic and intertwined framework of health data has never seemed so necessary, but residents of all countries do not have the chance to use such technologies to combat Covid 19.

 Although the technologies of industry 4 are very efficient and effective in the field of dealing with Covid 19, their distribution is not the same all over the world, and this is a challenge that should be considered more than before because in such a crisis, human lives are at stake and human lives In New York or Tokyo, he is as valuable as a human being in Rwanda and Jamaica.