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Internet of Behaviors: Managing Business, Employees, and People



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Technologies that can monitor and analyze big volumes of an individual’s data open up many opportunities for governments and entrepreneurship as well. How can the Internet of behaviors help business management?

The Essence of the Newly Trend

Internet of Behaviors (IoB) combines technologies of face recognition, location, and big data analyses. Previously, they’ve been used only separately. This technology trend means that the human body stands for data platform. Unlike the Internet of things, which presupposes that all electronic devices are connected to the network, the Internet of behaviors presents this connection of individuals to the network. 

It’s become possible to imagine the combination of technologies to influence human behavior providing accumulation of data on the digital footprint of each person. For instance, fitness apps on smartphones collect data on the nutrition and physical activity of users. Map services know the routes and locations of users, and so on. 

By the end of 2025, it’s expected that more than half of the world’s population will one way or another be involved in at least one Internet of Behavior (IoB) program. Businesses and governments will be using facial recognition technology, location data to influence the actions of citizens and employees.

Using this collected data, it becomes possible to build a powerful tool, especially for companies that use the outstaffing solutions. This technology allows you to change the behavior of people or make certain habits to promote your products. For instance, by accumulating data from truck real-time telemetry, road cameras, and signs, a logistics company can analyze the habits of drivers to jam on the brakes or swerve. Based on analytics, you can increase the quality and speed of delivery as well as the safety of goods.

Internet of Behaviors: Importance and Impact

The Internet of behaviors is capable of embodying intent analysis. Though it doesn’t exist yet, people do it on their own by talking. But let’s imagine that the system can collect and analyze such data. 

Decision-making and intention are opposite. Intentions define decisions, but they don’t lead directly to actions. Technologies can help streamline, collect data based on the intentions of employees, customers, users of certain services making their analysis. It’s a real breakthrough in many areas, as it’ll be possible to define an intention before any action.

In business, the evolution of technology and the development of the Internet behaviors can contribute to:

  • A better understanding of consumer’s actions;
  • The emergence of new value chains for end-users. For instance, taxi aggregators that use driver and passenger location data;
  • An increase in security and data protection issues. Fraudsters will take the advantage of social engineering techniques like never before.

At the same time, the interaction and communication between employees can significantly improve. 

Internet of Behaviors is an innovation that can be a real breakthrough in business management. The data collection of an individual will allow influencing an employee’s behavior, actions, and habits.  


In business, the evolution of technology and the development of Internet behaviors can contribute to a better understanding of consumer’s actions



How Computer Vision Paired with AR Can Be Used for Navigation Aide



How Computer Vision Paired with AR Can Be Used for Navigation Aide


AR and computer vision in navigation have become significant for automotive industries to provide information about movements in different places.

The future of driving may be the driverless car. AR and computer vision in navigation are being preferred by some automotive companies lately. One of the most popular brands in this segment is Tesla. The company has been focusing on developing autonomous electric vehicles for the past few years and has now set its eyes on a new frontier – augmented reality.

How Computers Interpret The World And What’s Different With Augmented Reality


Augmented reality is a computer-generated, interactive experience of a real-world environment, where the objects that reside in the real world are “augmented” by computer-generated perceptual information. Using augmented reality in navigation will help to know the real world by adding virtual components to them where the virtual objects comprehend and follow the real-world physics. Augmented reality differs from virtual reality because it interacts with the natural world and not just an artificial environment. Augmented reality relates virtual reality with real-world physics and comprehends the physics rules so they can be connected to objects. The use of AR and computer vision in navigation will help people traverse through the maps and find the exact location they are looking in the form of signs, symbols, and landmarks. Let’s explore this further in detail.

How Computer Vision is Used in Maps to Create Navigation Aids in Real Time

Computer vision is a type of artificial intelligence that helps create navigation aids in real-time. Computer vision application in maps has been around for a while now. Still, it has grown exponentially over the past few years. It can track the user’s location and orientation to provide directions. It can also help with other tasks like detecting traffic, locating parking spaces, and identifying objects of interest.

AR and Computer Vision in Navigation in Vehicles – The Future of Driving?

Tesla’s CEO Elon Musk has revealed that they are working on a new feature called “Tesla Vision,” which would allow drivers to see important information about their surroundings, such as signs, traffic lights, and pedestrians, in real-time by overlaying it onto their windshields. Drivers can navigate through any environment with just one camera sensor. This technology can also warn drivers about potential accidents and dangers or even take control of the vehicle if necessary.

The Future of Navigation Is Here and It’s Promising

In the future, AR and computer vision will be more helpful to the users by providing ideas about which road to take for driving or which place is available for parking. AR and computer vision are likely to be used most commonly for navigation in the future. AR and computer vision in navigation is the future as they will make our lives easier and more productive.


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