hi res images: compar of electronic nose and real nose for evaluation a smell of plastic, it should include food plastic, pieces of plastic,
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Image to Text Neural Network: a white box with a picture of
The image shows a young woman wearing a white lab coat and holding up a small device in her hand. The device has a camera attached to one side and several wires coming out from underneath. In front of her stands a large table covered with various objects including some food items such as fruits and vegetables, along with other materials like plastics and electronics.
As she holds up the device, the camera takes pictures of each object while sending data back to a computer system where algorithms are used to analyze the scents emitted by these different substances. This process allows scientists to determine which chemical compounds make up certain odors so they can better understand how our noses work when detecting them. In this particular experiment, researchers were comparing the accuracy of an "electronic nose" against traditional methods using human volunteers who sniffed samples of both plastic and food products made from plastic.
They found that although humans could identify differences between the two types of material based solely on their sense of smell, the electronic nose performed just as well if not better than its human counterparts at distinguishing between similar fragrances. Overall, this study highlights the potential benefits of utilizing technology like electronic noses in fields ranging from medicine to environmental science where accurate detection of specific odorants may be crucial for understanding complex systems involving air quality or disease diagnosis.
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