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Dental Scanner

HOME/Dental Scanner

CHALLENGES :

  • The objective is to design and build a 3D Intraoral scanner that is used for scanning the dental jaw and creating a complete 3D surface point cloud.

CLIENT BENEFITS :

  • Structured-light Scanning (SLS) systems have emerged as the most cost-effective and accurate method to capture the 3D geometry and appearance of a real object.
  • The project was to design a cost-effective solution for broad-based usages and a wider adoption.

TOOLS & TECHNOLOGY :

PROBLEM STATEMENT :

Build a 3D Intraoral scanner which is used for scanning the dental jaw.

  • PRODUCT FEATURES DEVELOPED BY ACCLIVIS :
  • Intraoral scanners (IOS) are devices used for capturing direct optical impressions in dentistry. Similar to other three-dimensional (3D) scanners, they project a light source (laser, or more recently, structured light) onto the object to be scanned, in this case, the dental arches, including prepared teeth. The images of the dentures captured by imaging sensors are processed by the scanning algorithms, which generate point clouds. These point clouds are then triangulated, creating a 3D surface model (mesh). The 3D surface models of the dentures or dental tissues are the result of the optical impression and are the ‘virtual’ alternative to traditional plaster models.
  • Use the structured light technology to set up a 3D scanning system using a point grey camera and Texas Instruments
  • Identify the appropriate calibration approach to estimate the intrinsic and extrinsic parameters of the camera and projector which will be required in 3D reconstruction.
  • Investigate if a point cloud for a single field of view (FOV) can be generated given a hardware setup using SLS.
  • Use the Iterative closest point algorithm to register a two-point cloud of subsequent scans.
  • Identify the limitations in the use of the current scanning setup and rectify them.

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Acclivis Technologies

Acclivis is research-oriented high-end services company in systems engineering, embedded services, machine vision, deep learning, artificial intelligence & iot.

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