Question

Проверьте пожалуйста текст на грамматические и т.д ошибки. How modern technologies are used to save lives. Hello everyone, dear viewers, i pleasure to see you. Today I want to tell you about finding people using a quadcopter and machine learning . To this day, one of the main problems in our world is the loss of people. Yes, people continue to go missing around the world - and often people go missing in the wilderness. They go for a walk in the forest for mushrooms, lose their orientation, and at the same time the opportunity to return to their families and civilization on their own. There are many ways to find people. The main method is to build a group of people in a line and walk around the perimeter fields, forests, where the sufferer could disappear. Of course, this method is good, but it also has its drawbacks. Now technologies are developing, and it is becoming easier to solve such problems: we can send our geolocation, but more often people disappear in forests where there is no Internet; we can order a helicopter, which is much more efficient, but this way of finding people very expensive. And finally, we can use drones that quickly fly over the forest, take photos, shoot videos, by which volunteers can find victims. I want to tell you the well-known story of finding the Little Girl from Yakutia. She went outside with her puppy but back did not return home. The girl's parents with a team of helpers were looking for her for two whole weeks, it's good that her dog was with her, who helped survive and not freeze. It is in such cases that it is best to use drones, because they are much faster. But to view each photo, a person spends from 30 seconds. How can you speed up the process of searching for a person from an aerial photograph, made from a drone? Of course, machine learning training comes to mind. After collecting the required number of test photos and marking people on them, then you can train the neural network to find them on its own. By installing this neural network into the operating system of drones, we can immediately see the person's location.

Answer 1

Ответ:

Hello, dear viewers! It is nice to see you. Today, I am going to be talking about finding people using a quadcopter and machine learning.

To this day, one of the global problems is people going missing. In many cases people go missing in the wilderness. When they go hiking to get some mushrooms, they might lose tracks and get lost.

There are multiple ways to finding people that went missing. One of the options is to gather a group of people and dogs and manually search for a person that got lost. This method is pretty efficient but it does have some disadvantages.

With the evolution of the tecnologies, it is getting much easier to reslove such problems: we can track our location. However, there is no connection in the deep woods, in that case we could use a helicopter to fly around the area. This method is might be working, but it does take a lot of resources.

Finally, we can use drones to fly over a forest, take picures and record videos. That way volunteer can easily find missing people.

There is well-know story about the little girl from Yakutia that went missing. She went outside with her puppy but did not return home. The girl's parent with a team of helpers looked for her for two whole weeks. The good thing is that the dog was with her, who helped her survive and keep warm. This is a great example when drones would come in handy.

On average a person spends around 30 secs to review a photo. How can you speed up the process of searching for a person from an aerial photographs? The first thing that comes to mind is AI and ML. After gathering enough data and marking people on the photo, AI will be able to identify objects on pictures. By installing this neural network into the operating system of drones, we can immediatelysee the person's location.

Great concept! Keep up the good work :)

Объяснение:

Answer 2

How modern technologies are used to save lives

Modern technologies are being utilized in various ways to save lives, including in the search and rescue operations for missing individuals. One such technology is the use of quadcopters (also known as drones) combined with machine learning algorithms.

The loss of people, especially in wilderness areas, remains a significant problem worldwide. People often go missing while hiking, mushroom picking, or engaging in other outdoor activities, losing their orientation and the ability to return to their families and civilization on their own. Traditionally, search and rescue teams would form groups and walk around the perimeter of fields and forests where the missing person could have disappeared. While this method can be effective, it has its limitations.

With the advancement of technology, new solutions have emerged. One approach is to use geolocation services, where individuals can share their location in real-time. However, this method is not always feasible in areas without internet connectivity, such as remote forests. Another option is to deploy helicopters, which can cover large areas quickly and efficiently. However, this method can be expensive and may not always be available.

Drones have emerged as a promising tool for search and rescue operations. These unmanned aerial vehicles can fly over forests, capturing photos and videos that can be analyzed by volunteers to locate missing individuals. An example of a successful drone-assisted search and rescue operation is the well-known story of finding the Little Girl from Yakutia. She went outside with her puppy but did not return home. Her parents, along with a team of helpers, searched for her for two weeks. Fortunately, her dog was with her, which helped her survive. Drones could have expedited the search process in such cases due to their speed and ability to cover large areas quickly.

However, reviewing each photo manually can be time-consuming. To address this challenge, machine learning training can be employed. By collecting a sufficient number of test photos and marking people on them, a neural network can be trained to identify individuals automatically. Once this neural network is installed in the operating system of drones, it can quickly identify the location of a person from an aerial photograph.

In summary, modern technologies, such as drones and machine learning, are being used to save lives in search and rescue operations. Drones can cover large areas quickly, capturing photos and videos that can be analyzed by volunteers. Machine learning algorithms can further enhance the search process by automatically identifying individuals from aerial photographs. These technological advancements offer new possibilities for locating missing individuals and improving the efficiency of search and rescue efforts.