{
  "$type": "site.standard.document",
  "description": "A mobile device detects a crash event using one or more sensors of a mobile device. The mobile device records a first set of data from the one or more sensors of the mobile device. The mobile device generates a first feature vector including the first set of data and available values for one or…",
  "path": "/patents/1380395",
  "publishedAt": "2026-04-02T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60R21/013",
    "Cambridge Mobile Telematics Inc."
  ],
  "textContent": "A mobile device detects a crash event using one or more sensors of a mobile device. The mobile device records a first set of data from the one or more sensors of the mobile device. The mobile device generates a first feature vector including the first set of data and available values for one or more additional data types. The mobile device executes a first machine-learning model selected from a plurality of machine-learning models based on the one or more additional data types for which there are available values to generate a first confidence of a total loss event.",
  "title": "METHODS AND SYSTEMS OF PREDICTING TOTAL LOSS EVENTS"
}