Check patentability & draft patents in minutes with Patsnap Eureka AI!

Article information input method, device, refrigerator and medium based on deep learning

A technology of item information and deep learning, applied in the field of smart refrigerators, can solve the problems of wasting energy, low accuracy, and wasting time.

Active Publication Date: 2018-06-29
HEFEI MIDEA INTELLIGENT TECH CO LTD
View PDF10 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (1) Manual entry is relatively cumbersome, which is a waste of time and energy, and the level of intelligence is poor
[0005] (2) Shooting and analyzing item packaging for input, it is difficult to apply to complex scenes, and the accuracy rate is low

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Article information input method, device, refrigerator and medium based on deep learning
  • Article information input method, device, refrigerator and medium based on deep learning
  • Article information input method, device, refrigerator and medium based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0053] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.

[0054] figure 1 A schematic flowchart of a method for entering item information based on deep learning according to an embodiment of the present invention is shown.

[0055] Such as figure 1 As sh...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides an article information input method, a device, a refrigerator and a medium based on deep learning. The method comprises the following steps that 3D image information is acquired; the 3D space three-dimensional coordinate information of a designated article is established according to the 3D image information and a pre-trained article image segmentation model; and the input information of the designated article is determined according to the 3D space three-dimensional coordinate information, and the input information comprises volume information and / or weight information.According to the technical scheme, the 3D space three-dimensional coordinate information of the designated article is established according to the 3D image information and the pre-trained article image segmentation model, so that the volume information of the appointed article and / or the volume information of the appointed article can be determined, the article information is input more intelligently and automatically, and the method is high in accuracy and instantaneity, and can be applied to a complex scene.

Description

technical field [0001] The present invention relates to the technical field of smart refrigerators, in particular to a deep learning-based item information entry method, a deep learning-based item information entry device, a refrigerator, and a computer-readable storage medium. Background technique [0002] With the development of information technology, refrigerators not only carry the function of storing ingredients, but also gradually develop towards smart homes and provide users with more intelligent services. Item information entry and management have become the core of intelligent refrigerators Features. [0003] In related technologies, the volume and weight on the item package are generally entered manually, or the volume and weight on the package are entered manually after being measured by a scale and a scale, or the volume and weight on the package are analyzed by taking pictures on the item package. The following technical defects: [0004] (1) Manual input is ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): F25D29/00G06K9/00G06K9/34
CPCF25D29/003F25D29/005G06V20/64G06V10/267
Inventor 唐红强戴江
Owner HEFEI MIDEA INTELLIGENT TECH CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com