Item identity via scanning technologies
View Patent ↗A service portal enables a user to request a service from a variety of service providers from the comfort of home or elsewhere. The user is able to place the order and pay for the service using a computing device. Depending on the service request, additional steps may be included such as scanning an item or a room, packaging an item, and/or other preparatory steps. Items are able to be identified via scanning. Order entry is able to be initiated via the scanned identification. The scanned items are able to be inventoried and managed. Augmented reality is able to be used with the scanned items. A standalone services app is able to provide entertainment and other accompanying services.
1 . A method programmed in a non-transitory memory of a device comprising:
applying a digital mask on a stain within one or more digital images of a scanned item such that the stain is masked out during analysis of the scanned item to prevent misidentification of the scanned item, wherein the stain is located on the scanned item, the stain is detected using machine learning based on a border of the stain within the digital images and the stain is not an effect of noise within the digital images; and
storing identification information of the item, wherein the identification information of the item includes: a unique identifier of the item, an image of the item and a description of the item.
2 . The method of claim 1 wherein scanning the item utilizes a camera of the device.
3 . The method of claim 1 wherein scanning the item includes scanning the item from a plurality of angles.
4 . The method of claim 1 wherein analyzing the scanned item includes performing image searching to determine a match of the scanned item with a stored item.
5 . The method of claim 1 wherein analyzing the scanned item includes classifying the scanned item in one or more classifications and one or more sub-classifications.
6 . The method of claim 1 wherein analyzing the scanned item includes determining a material of the scanned item.
7 . The method of claim 6 wherein determining a material of the scanned item includes analyzing a spectrum or an amount of reflected light detected in a scan of the item.
8 . The method of claim 6 wherein determining a material of the scanned item includes analyzing fibers of the material.
9 . The method of claim 1 wherein analyzing the scanned item includes detecting stains, flaws, rips or texture.
10 . The method of claim 1 wherein analyzing the scanned item includes utilizing optical character recognition to detect distinguishing features of the item.
11 . The method of claim 1 wherein the identification information enables re-scanning of the item for automatic identification.
12 . An apparatus comprising:
a camera for scanning an item of a user;
a non-transitory memory for storing an application, the application for:
applying a digital mask on a stain within one or more digital images of a scanned item such that the stain is masked out during analysis of the scanned item to prevent misidentification of the scanned item, wherein the stain is located on the scanned item, the stain is detected using machine learning based on a border of the stain within the digital images and the stain is not an effect of noise within the digital images; and
storing identification information of the item, wherein the identification information of the item includes: a unique identifier of the item, an image of the item and a description of the item; and
a processor for processing the application.
13 . The apparatus of claim 12 wherein scanning the item includes scanning the item from a plurality of angles.
14 . The apparatus of claim 12 wherein analyzing the scanned item includes performing image searching to determine a match of the scanned item with a stored item.
15 . The apparatus of claim 12 wherein analyzing the scanned item includes classifying the scanned item in one or more classifications and one or more sub-classifications.
16 . The apparatus of claim 12 wherein analyzing the scanned item includes determining a material of the scanned item.
17 . The apparatus of claim 16 wherein determining a material of the scanned item includes analyzing a spectrum or an amount of reflected light detected in a scan of the item.
18 . The apparatus of claim 16 wherein determining a material of the scanned item includes analyzing fibers of the material.
19 . The apparatus of claim 12 wherein analyzing the scanned item includes detecting stains, flaws, rips or texture.
20 . The apparatus of claim 12 wherein analyzing the scanned item includes utilizing optical character recognition to detect distinguishing features of the item.
21 . The apparatus of claim 12 wherein the identification information enables re-scanning of the item for automatic identification.
22 . An apparatus comprising:
a non-transitory memory for storing an application, the application for:
applying a digital mask on a stain within one or more digital images of a scanned item such that the stain is masked out during analysis of the scanned item to prevent misidentification of the scanned item, wherein the stain is located on the scanned item, the stain is detected using machine learning based on a border of the stain within the digital images and the stain is not an effect of noise within the digital images; and
storing identification information of the item, wherein the identification information of the item includes: a unique identifier of the item, an image of the item and a description of the item; and
a processor for processing the application.
23 . The apparatus of claim 22 wherein the scanned item is scanned from a plurality of angles.
24 . The apparatus of claim 22 wherein analyzing the scanned item includes performing image searching to determine a match of the scanned item with a stored item.
25 . The apparatus of claim 22 wherein analyzing the scanned item includes classifying the scanned item in one or more classifications and one or more sub-classifications.
26 . The apparatus of claim 22 wherein analyzing the scanned item includes determining a material of the scanned item.
27 . The apparatus of claim 26 wherein determining a material of the scanned item includes analyzing a spectrum or an amount of reflected light detected in a scan of the item.
28 . The apparatus of claim 26 wherein determining a material of the scanned item includes analyzing fibers of the material.
29 . The apparatus of claim 22 wherein analyzing the scanned item includes detecting stains, flaws, rips or texture.
30 . The apparatus of claim 22 wherein analyzing the scanned item includes utilizing optical character recognition to detect distinguishing features of the item.
31 . The apparatus of claim 22 wherein the identification information enables re-scanning of the item for automatic identification.