{
  "$type": "site.standard.document",
  "description": "Described is a system (and method) for locating a center point of a lug nut for an automated vehicle wheel removal system. To improve the accuracy of the center point, the system may perform machine learning inferences using two-dimensional (2D) and three-dimensional (3D) image data. The system may…",
  "path": "/patents/1342871",
  "publishedAt": "2023-05-04T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06F30/27",
    "RoboTire, Inc."
  ],
  "textContent": "Described is a system (and method) for locating a center point of a lug nut for an automated vehicle wheel removal system. To improve the accuracy of the center point, the system may perform machine learning inferences using two-dimensional (2D) and three-dimensional (3D) image data. The system may process a 2D image to infer an initial center point, and potentially improve the accuracy by leveraging a 3D image. More particularly, the system may process a 3D image to infer a location of one or more edges (or edge points) around the perimeter of the lug nut and measure a set of distances between the initial center point and the located set of edges. The system may then refine (or adjust) the center point based on such measurements.",
  "title": "LOCATING A CENTER POINT OF A LUG NUT FOR AN AUTOMATED VEHICLE WHEEL REMOVAL SYSTEM"
}