The hottest RFID technology completes the search a

RFID technology will complete the positioning of UAV search and rescue in milliseconds, which will be more accurate

[CNMO] a group of researchers at the Massachusetts Institute of Technology (MIT) developed a system that uses RFID

[CNMO] a group of researchers at the Massachusetts Institute of Technology (MIT) developed a system that uses RFID tags to locate moving tagged objects in a few milliseconds. This system called turbotrack can improve the efficiency of manufacturing robots and perform UAV search and rescue tasks. The system can locate objects within an average of 7.5 milliseconds. The positioning error of DuPont Hongji, together with a batch of new material projects such as Dow glaze and Guangdong Tian'an new material, is less than 1 cm

turbotrack uses a reader to send wireless signals to RFID tags that can be applied to any object, and then reflect the signals back to the card reader. MIT said that the system uses a "spatiotemporal hyperspectral" algorithm, which filters the reflected signal to locate the response of RFID tags

MIT researchers said, "as the label moves, its signal angle will change slightly, and the change of signal angle corresponds to the corresponding position change. By constantly comparing the changed distance measurement with the distance measurement of other signals, we can find the position of the label in a three-dimensional space. All this happens in less than a second."

MIT researchers said that RFID system is more suitable than computer vision technology to perform robot tasks in cluttered environments or with limited vision, such as UAV search and rescue tasks. This is because RF signals can recognize targets without vision, and they can also recognize targets through clutter and walls

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nanodrones currently use computer vision methods to splice the captured images into three types: spiral, herringbone and crescent for positioning. These drones are often lost in chaotic areas. They can't find each other behind the wall, and can't guarantee the uniqueness of identification. This limits their ability

during the test of the system, researchers tracked nanodrones equipped with RFID during docking, maneuvering and flight. They also conducted a separate test, attaching one RFID tag to a hat and the other to a bottle. Then let the mechanical arm locate the hat and cover it on the bottle, and the bottle is grabbed and fixed by another mechanical arm. MIT researchers said that in these two tests, turbotrack was either as fast as the traditional computer vision system, or even faster than it, or it still successfully achieved its goal under the condition that the trading volume of information procurement with computer vision failure slowed down significantly

MIT also explored the use of RFID tags in other applications, and developed a low-cost sensor that can monitor and improve human health in June. The team said that RFID tags can become the basis for large-scale sensor support networks, which can not only detect health-related physical changes, but also detect carbon monoxide or ammonia. It can be used to stretch, compress, twist, shear, peel and other mechanical properties of metallic and non-metallic materials

at the same time, researchers at Carnegie Mellon University have found a way to use RFID tags to control virtual avatars or remind users to sit up. Haojian Jin, a doctoral student at the Institute of human computer interaction (HCII) at Carnegie Mellon University, said: "by attaching these paper like RFID tags to clothes, we can track the position of bones with millimeter accuracy."