The Verge Chinese Station reported on November 11
Google is a "black technology" company and I believe no one will object. From robots, artificial intelligence, self-driving cars to smart fabrics, AR/VR, and everything else. Now, Google's miniature radar has been able to determine the type of object, and even human body parts.
Project Soli is a new gesture control technology released by Google last year. It uses subminiature radar to achieve submillimeter-accurate motion detection, allowing users to implement various gesture controls. However, this is not only its only function. Researchers at the University of St Andrews in Scotland have successfully used the Project Soli miniature radar to complete object recognition.
This device, named "RadarCat", operates on the same principle as a general radar and is implemented by electromagnetic wave bounce. However, it is unique in that it incorporates advanced algorithms that not only detect external objects, but also identify objects based on their internal structure.
From the videos released by researchers, RadarCat can accurately identify object types such as air (when it is not near radar), metals, and plastics; it can also directly identify and select color samples in Photoshop.
What's even more cool is that the Project Soli radar is installed on the back of an Android phone and is close to the human body. It can also accurately determine the human body parts such as the arm and fingers. Of course, this technology is thrown into development, so the recognition rate is not 100% accurate. For example, the aluminum casing of the MacBook is recognized as aluminum, and sometimes the back of the human body cannot be recognized.
As for the application prospects of Project Soli Radar and RadarCat, it is still very extensive. It can be used to help visually-impaired people identify objects, or to accurately identify product models in the business world, and of course, to enable smarter mobile applications, such as recognizing that a user wears gloves and turning on the mobile phone large icon mode directly.
RadarCat researchers said that their next step is to further improve the system's ability to distinguish between similar objects, such as a cola or beer. There is no doubt that Google's Project Soli radar is the hardware key and brings unlimited software application possibilities. (Author: James Vincent compilation: Rocky)
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