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

=AUTOMATIC MEASUREMENTS BASED ON OBJECT CLASSIFICATION=


==Organization Name==

[[:Category:Apple Inc.|Apple Inc.]]


[[Category:Apple Inc.]]

==Inventor(s)==

[[:Category:Amit Jain of San Francisco CA (US)|Amit Jain of San Francisco CA (US)]][[Category:Amit Jain of San Francisco CA (US)]]

[[:Category:Aditya Sankar of Seattle WA (US)|Aditya Sankar of Seattle WA (US)]][[Category:Aditya Sankar of Seattle WA (US)]]

[[:Category:Qi Shan of Mercer Island WA (US)|Qi Shan of Mercer Island WA (US)]][[Category:Qi Shan of Mercer Island WA (US)]]

[[:Category:Alexandre Da Veiga of San Francisco CA (US)|Alexandre Da Veiga of San Francisco CA (US)]][[Category:Alexandre Da Veiga of San Francisco CA (US)]]

[[:Category:Shreyas V. Joshi of Seattle WA (US)|Shreyas V. Joshi of Seattle WA (US)]][[Category: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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