{
  "patent_number": "US 12737921",
  "country": "US",
  "title": "How Cameras Automatically Re-Adjust Themselves Using Fixed Objects",
  "original_title": "Automated recalibration of sensors for monitoring an area of real space",
  "summary": "This patent describes a method for surveillance cameras to automatically correct their aim and focus by comparing what they currently see to old calibration images, specifically looking for fixed objects in the scene.",
  "what_it_does": "The patent outlines an automated system for recalibrating cameras that monitor a real-world area. It works by taking new images and comparing them to a set of older, known-good calibration images. A special computer program, called a trained neural network classifier, finds specific points on 'relatively immobile structures' (like walls or furniture) in both the new and old images. If the way these points have shifted, called 'transformation information,' reaches a certain level, the camera's settings are automatically updated to correct its view. For example, if a security camera slightly shifts due to vibration, this system would detect the shift by comparing a new image of a doorway to the original calibrated image of that same doorway, then automatically adjust the camera's internal settings to restore its proper alignment.",
  "what_it_does_not_cover": [
    "Does not cover manual recalibration where a human physically adjusts the camera or its settings.",
    "Does not cover recalibration methods that rely on moving objects or people in the monitored area.",
    "Does not cover systems that recalibrate without using a trained neural network classifier to identify features.",
    "Does not cover recalibration that does not compare current images to a previously stored set of calibration images.",
    "Does not cover recalibration based on changes in lighting or color, focusing instead on structural features."
  ],
  "filed": "2024-08-22",
  "granted": "2026-09-15",
  "expires": null,
  "status": "active",
  "holder": null,
  "holder_url": null,
  "inventors": [],
  "times_cited": 0,
  "tags": [
    "consumer_electronics",
    "software",
    "ai_ml",
    "telecommunications",
    "robotics"
  ],
  "abstract": "Automated techniques provide for recalibrating cameras configured for monitoring an area of real space. The method includes first processing one or more selected images selected from a plurality of sequences of images received from a plurality of cameras calibrated using a set of calibration images that were used to calibrate the cameras previously. Transformation information between the selected images and the set of calibration images is obtained based on one or more features extracted from the selected images using a trained neural network classifier corresponding to points located at relatively immobile structures. The features extracted from the selected images match features in the set of calibration images. Camera calibrations can be updated when transform information between features matched meets or exceeds a threshold.",
  "url": "https://patentbrief.org/patent/us/12737921/automated-recalibration-of-sensors-for-monitoring-an-area-of-real-space",
  "markdown_url": "https://patentbrief.org/patent/us/12737921/automated-recalibration-of-sensors-for-monitoring-an-area-of-real-space/md",
  "google_patents_url": "https://patents.google.com/patent/US12737921",
  "relatedPatents": []
}