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TECHNOLOGY

With the sewing machine will be able to the original intelligent hardware implantation of the technology has been achieved

    According to "Daily Science" website on April 13 reported that the United States in the field of intelligent wearable equipment to achieve a major breakthrough in the accuracy of 0.1 mm to be embedded in textiles. The "implant" is implemented on a specially designed sewing machine.
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    The "sensor" and the computer memory and other equipment "implanted" into the clothes inside, the next step is to develop "functional" clothing. The device embeds electronic devices that collect, store, and transmit digital information, allowing direct connection to mobile phones, tablets, and sportswear and sports equipment for real-time monitoring of human health. Athletes, patients and even the general public can benefit from it.
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Ohio State University, director of the Laboratory of Electronic Science John Wolakis and researcher Asiminakeki Walti to carry out collaborative research to achieve the above breakthrough. The results have been published in academic journals.
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There was an unusual sewing machine in Wolakis' lab. It is not only able to sew clothing, but also in the computer program instructions, the electronic products embedded in the textile, the system of "functional" clothes.
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For example, a few larger than the nail cover electronic components assembled, you can become a few centimeters long broadband antenna, embedded in the clothes, the phone can really enhance the signal and speed up the Internet.
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The technology will revolutionize the textile industry, says Vorakis, a "functional" garment that helps to use science and technology to sense and transmit health data, and even one day in the medical field, filming, monitoring Healthy body.
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More recently, Wolakis and Kivotty have used the technology to produce prototypes of wearable electronic components and have patented them. In addition, they are still two years to reduce production costs by half.
Article link: China Security Exhibition Network