18072855. AUTOMATIC MEASUREMENTS BASED ON OBJECT CLASSIFICATION simplified abstract (Apple Inc.)

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AUTOMATIC MEASUREMENTS BASED ON OBJECT CLASSIFICATION

Organization Name

Apple Inc.

Inventor(s)

Amit Jain of San Francisco CA (US)

Aditya Sankar of Seattle WA (US)

Qi Shan of Mercer Island WA (US)

Alexandre Da Veiga of San Francisco CA (US)

Shreyas V. Joshi of Seattle WA (US)

AUTOMATIC MEASUREMENTS BASED ON OBJECT CLASSIFICATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18072855 titled 'AUTOMATIC MEASUREMENTS BASED ON OBJECT CLASSIFICATION

Simplified Explanation

The patent application describes devices, systems, and methods for measuring objects based on the location of their surfaces. Here is a simplified explanation of the abstract:

  • The technology obtains a 3D representation of a physical environment using depth data and light intensity image data.
  • It generates a 3D bounding box around an object in the environment based on the 3D representation.
  • The class of the object is determined using 3D semantic data.
  • The location of the object's surface is determined by identifying a plane within the bounding box that satisfies surface criteria for the object.
  • Finally, the technology provides a measurement of the object based on the location of its surface.

Potential Applications

This technology has various potential applications, including:

  • Industrial manufacturing: It can be used to measure objects on assembly lines, ensuring accurate dimensions and quality control.
  • Augmented reality: It can assist in creating realistic virtual objects that interact with the real world by accurately measuring the surfaces of physical objects.
  • Robotics: It can help robots navigate and interact with their environment by providing precise measurements of objects.

Problems Solved

This technology solves several problems, such as:

  • Accurate measurements: By using 3D representations and semantic data, it provides more precise measurements of objects compared to traditional methods.
  • Object classification: It determines the class of an object based on its 3D semantic data, allowing for better understanding and analysis of the environment.
  • Surface identification: It identifies the location of an object's surface within a bounding box, enabling more accurate measurements and analysis.

Benefits

The benefits of this technology include:

  • Improved efficiency: By automating the measurement process, it saves time and reduces human error.
  • Enhanced accuracy: The use of 3D representations and semantic data improves the accuracy of measurements and object classification.
  • Versatility: The technology can be applied to various industries and scenarios, making it adaptable to different use cases.


Original Abstract Submitted

Various implementations disclosed herein include devices, systems, and methods that provide measurements of objects based on a location of a surface of the objects. An exemplary process may include obtaining a three-dimensional (3D) representation of a physical environment that was generated based on depth data and light intensity image data, generating a 3D bounding box corresponding to an object in the physical environment based on the 3D representation, determining a class of the object based on the 3D semantic data, determining a location of a surface of the object based on the class of the object, the location determined by identifying a plane within the 3D bounding box having semantics in the 3D semantic data satisfying surface criteria for the object, and providing a measurement of the object, the measurement of the object determined based on the location of the surface of the object.

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