{
  "$type": "site.standard.document",
  "description": "A driver behavior detection system using deep learning-based object classification includes: a frame inputting unit for receiving image frames; a downsampling unit for downsampling resolutions of a previous frame and a current frame of the image frames; an active image producing unit for utilizing…",
  "path": "/patents/1375995",
  "publishedAt": "2025-06-19T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06V20/597",
    "KYUNGPOOK NATIONAL UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION"
  ],
  "textContent": "A driver behavior detection system using deep learning-based object classification includes: a frame inputting unit for receiving image frames; a downsampling unit for downsampling resolutions of a previous frame and a current frame of the image frames; an active image producing unit for utilizing brightness values by color of the downsampled previous and current frames to produce an active image; an active region extracting unit for applying a sliding window algorithm to the produced active image to extract an active region having the biggest window value among window values; and a behavior detecting unit for applying an object classification algorithm to the extracted active region to classify and detect a driver's behavior.",
  "title": "DEVICE FOR DETECTING DRIVER BEHAVIOR USING DEEP LEARNING-BASED OBJECT CLASSIFICATION"
}