According to the patent documentation, which was originally submitted on May 31, 2018 and was surfaced by Forbes earlier this month, the technology uses computer vision to recognize objects based on the hues of the object appearing in the camera view and the location of the device. It compares the recognized image to a corresponding model from a library of 3D models, and overlays digital data on top of it.
When paired with other tracking methods, such as QR codes or radio frequency tags, the technology has the potential to improve assembly and quality control processes. For instance, when a car part is identified, the AR system could overlay data about welding, paint coat thickness, or other specifications to the user.
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