View source for 18597919. ESTIMATION DEVICE simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

=ESTIMATION DEVICE=


==Organization Name==

[[:Category:TOYOTA JIDOSHA KABUSHIKI KAISHA|TOYOTA JIDOSHA KABUSHIKI KAISHA]]


[[Category:TOYOTA JIDOSHA KABUSHIKI KAISHA]]

==Inventor(s)==

[[:Category:Hisamasa Mori of Miyoshi-shi (JP)|Hisamasa Mori of Miyoshi-shi (JP)]][[Category:Hisamasa Mori of Miyoshi-shi (JP)]]

==ESTIMATION DEVICE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18597919 titled 'ESTIMATION DEVICE

'''Simplified Explanation''': 

This patent application describes a device that can estimate the depth of a tire groove by acquiring an image of the tire tread.

* The device includes a memory and a processor.
* The processor acquires an image of the tire tread.
* Based on the image, the processor estimates the depth of the tire groove.

'''Key Features and Innovation''':

* Acquiring an image of the tire tread to estimate groove depth.
* Memory and processor configuration for image processing.
* Non-invasive method for assessing tire tread wear.

'''Potential Applications''':

This technology could be used in:

* Automotive maintenance shops.
* Tire manufacturing facilities.
* Vehicle safety inspections.

'''Problems Solved''':

* Provides a quick and accurate way to assess tire tread wear.
* Helps prevent accidents due to worn-out tires.
* Improves overall vehicle safety.

'''Benefits''':

* Enhances vehicle safety.
* Saves time and resources in tire maintenance.
* Increases the lifespan of tires.

'''Commercial Applications''':

Commercially, this technology could be utilized in:

* Tire shops for quick tire assessments.
* Vehicle inspection centers for safety checks.
* Tire manufacturing plants for quality control.

'''Prior Art''':

Prior art related to this technology may include:

* Image processing techniques for tire inspection.
* Tire tread depth measurement devices.
* Automated systems for tire maintenance.

'''Frequently Updated Research''':

Stay updated on advancements in:

* Image processing algorithms for tire analysis.
* Integration of this technology into autonomous vehicles.

'''Questions about Tire Groove Depth Estimation''':

1. How does the device acquire an image of the tire tread?
   - The device uses a camera or similar imaging technology to capture the image of the tire tread.

2. What factors can affect the accuracy of the depth estimation?
   - Factors such as lighting conditions, tire material, and image resolution can impact the accuracy of the estimation.


==Original Abstract Submitted==

An estimation device includes a memory; and a processor coupled to the memory, wherein the processor is configured to: acquire an image of a tread of a tire that is installed at a vehicle; and estimate a depth of a groove of the tire based on the image.



[[Category:G06T7/50]]
[[Category:G06T7/00]]
[[Category:CPC_G06T7/50]]