Why Do We See Traffic-Related Images in Captcha Tests?

There are basically three components of healthy surfing on the Internet; a healthy connection, a healthy website, and a healthy device. There are many security measures taken to ensure that a site can function properly, not be attacked or damaged by malicious people. Perhaps one of the most well-known Captcha tests.

Recently, we have constantly been in Captcha tests. to recognize pedestrian crossings, traffic lights or vehicles we are working. So why do we constantly struggle with traffic as if we are in a driving school when there are thousands of different questions to ask?

Computers are trying to decipher the traffic because of us.

What we call the captcha test is a simple test used to distinguish between people and computers. Turing test. The Turing test is a kind of test that is easy for people but cannot be solved by the computer. The reason why we often see images related to traffic in captcha tests is that these images are difficult to recognize by computers.

Computers do not perceive images the way we do. In the tests traffic lights, pedestrian crossings, bicycles, buses computers cannot recognize objects as soon as they see them. The shape, color, location and background of these objects can be complex for computers.

For example, while it may seem easy to tell that a traffic light is green, the brightness, angle of the light and other objects around it can cause the computer to stumble. That’s why when asking people to separate these images, computers or software are blocked from accessing the sites.

How do computers learn to distinguish things?

Thanks to artificial intelligence, computers can take things away from other things. to separate can learn. Although the learning processes are clear, we do not yet know exactly how the head of artificial intelligence works after learning, a complex artificial network is involved.

First of all, we have a bot or artificial intelligence Unless we do, the information we can obtain is limited because artificial intelligence and bots are very valuable and highly guarded trade secrets for companies. They do not give any details other than very general information. Still, the general approach is more or less clear.

Let’s take a look at the neural network systems that have been popular in recent years.

especially popular in recent years. neural network systems Basically, two bots are produced. The first of these bots generates new bots, and the second tests new bots. In order to explain the rest of the article without confusing, I will call them producer bots, trainer bots and student bots.

manufacturer boots, The student produces bots and sends them to the trainer bot. The instructor bot doesn’t know the distinction we want to make, but he has a quiz of answered questions in his hand. Student applies this test to bots. It sends the students back to the manufacturer with the test results.

When the children return from school, the productive boat, good results areas sets aside and destroys others; Instead, another student builds bots based on successful examples. The process of making and testing new bots continues as a while loop.

While the students who were lucky at first survived, at some point the more or less desired job was no longer by chance. a boat that can do it thanks to its structure arises. In subsequent iterations from that bot, the success rate required to survive gets progressively higher.

Finally too Although we do not know exactly how it works we get a successfully working artificial intelligence bot. We humans create the answer keys for the tests with millions of questions that will be applied to the billions of bots that will take these tests with the Captcha tests.

Computers, of course, have places to use what they learn.

Information from captcha tests, in the first stage Google Maps used to develop services such as Google tries to keep its maps more accurate and up-to-date by matching the traffic-related images it uses in its Captcha tests with responses from people. Like this, Captcha tests It is used both to ensure the security of websites and to improve mapping services.

Another point is, of course, autonomous driving systems. for the development of these systems. huge amount of data needs. One of the most effective ways to collect such big data is to create control data already by asking billions of people browsing the internet questions about images.

So at the end of the day, people struggle with that many traffic symbols to train bots in Captcha tests. Thus, in the future, following more accurate maps, our autonomous cars will be.