Researchers have developed a robotic eye that, thanks to artificial intelligence, can see better than humans. This technology will primarily be used as a camera in vehicles.
A lot has happened in the development of artificial intelligence (AI) in recent years. We are now even AI systems can play complex games like Minecraft or perfume development. But with every positive development, negative sides also appear.
For example, AI also has racial and sometimes sexual biases. Recently, a Google employee said that the AI was conscious and, after in-depth investigations, initially took a leave of absence and finally fired.
It will likely be a few years before computers and machines can hold a candle to us. researchers from University of Central Florida However, a breakthrough has now been made. They have developed a robotic eye that can see better than a human.
Robot eyes sometimes see better than humans
To do this, the researchers developed a mechanical version of the human retina. Through the use of modern technology, the AI eye sometimes sees better. This is because it perceives and interprets different wavelengths. From ultraviolet rays to visible light waves, anything is possible.
The results look promising. So far, systems in autonomous vehicles use different separate data points to manipulate and interpret the environment. This requires a lot of computing power. In contrast, the mechanical eye can take over all these tasks within a component and pass the processed information back to the computer.
The AI system recognizes objects in up to 80 percent of cases
In addition to the faster interpretation of the environment, the design of AI systems also benefits. Because the artificial eye requires much less space than similar techniques. Safety in autonomous vehicles must be increased as the environment is better considered. This applies regardless of the current weather conditions.
In the first experiments, the researchers showed the robotic eye different images. At the bottom, the number three is represented as a number in the ultraviolet, or individual fragments of eight in the infrared spectrum. In 70 to 80 percent of cases, the AI system interpreted the screen correctly and without any problems. If things continue at this pace, researchers expect practical use in the next five to 10 years.
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