首页|Patent Issued for Systems and methods for artificial intelligence (AI) three-dimensional modeling (USPTO 11893683)

Patent Issued for Systems and methods for artificial intelligence (AI) three-dimensional modeling (USPTO 11893683)

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From Alexandria, Virginia, NewsRx journalists report that a patent by the inventors Roy, Douglas L. (Plantsville, CT, US), Scanlon, Ryan M. (East Hampton, CT, US), Ton-That, Hoa (Glastonbury, CT, US), filed on February 23, 2023, was published online on February 6, 2024. The patent's assignee for patent number 11893683 is The Travelers Indemnity Company (Hartford, Connecticut, United States). News editors obtained the following quote from the background information supplied by the inventors: "Various types of assessments are based on layouts or contents of structures. Room sizes, furnishings, wall or floor covering materials, finishes, etc., may be utilized, for example, to evaluate or estimate variable values for a variety of purposes, such as construction or maintenance estimations, insurance coverage or claims evaluations, appraisal processes, or safety inspections (e.g., municipal inspections). Manual measurement processes have largely been replaced by advancing technologies, such as Light Detection and Ranging (LiDAR), mobile photogrammetry, or Augmented Reality (AR) programs. Each of these options provides certain benefits but is also subject to various deficiencies. While LiDAR and mobile photogrammetry offer precise results, for example, the hardware and software required for such solutions remains expensive and requires significant training to properly employ. AR programs, which may be available for execution on consumer electronic devices, such as smart phones, offer a lower cost and more easily operated solution, but provide limited precision while consuming large amounts of data storage, processing power, or network bandwidth."

Artificial IntelligenceBusinessEmerging TechnologiesMachine LearningThe Travelers Indemnity Company

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.22)