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Item information entry method, device, refrigerator and medium based on deep learning

A technology of deep learning and item information, applied in the field of smart refrigerators, can solve the problems of wasting time, tedious manual input, and difficult to apply complex scenes.

Active Publication Date: 2020-11-10
HEFEI MIDEA INTELLIGENT TECH CO LTD
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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

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  • Item information entry method, device, refrigerator and medium based on deep learning
  • Item information entry method, device, refrigerator and medium based on deep learning
  • Item information entry method, device, refrigerator and medium based on deep learning

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Embodiment Construction

[0052] In order to be able to understand the above objectives, 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 the embodiments of the application and the features in the embodiments can be combined with each other if there is no conflict.

[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 to the specific details disclosed below. Limitations of the embodiment.

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

[0055] Such as figure 1 As shown, th...

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Abstract

The present invention provides a deep learning-based item information entry method, device, refrigerator, and medium. The method includes: collecting 3D image information; and creating a 3D spatial stereoscopic image of a specified item according to the 3D image information and a pre-trained item image segmentation model Coordinate information: According to the 3D spatial coordinate information, the entry information of the specified item is determined, and the entry information includes volume information and / or weight information. Through the technical solution of the present invention, the 3D spatial coordinate information of the specified item is created according to the 3D image information and the pre-trained item image segmentation model, and then the determination of the volume information and / or weight information of the specified item is realized, and the entry of item information is more intelligent. It is highly accurate and real-time, and can be applied to complex scenarios.

Description

Technical field [0001] The present invention relates to the technical field of smart refrigerators, and in particular to a method for inputting item information based on deep learning, a device for inputting item information based on deep learning, 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. The entry and management of item information has become the core of refrigerator intelligence. Features. [0003] In the related technology, the volume and weight on the packaging of the item are generally manually entered, or manually entered after being measured by a scale and scale, or by taking pictures on the packaging of the item to analyze the volume and weight on the packaging for entry. The following technical defects: [0004] (1) Manual...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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
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