Food material freshness identification method and device based on deep learning, refrigerator and medium

A deep learning and identification device technology, applied in household refrigeration devices, lighting and heating equipment, home appliances, etc., can solve problems such as difficulty in model optimization and updating, difficulty in dealing with food freshness identification, and difficulty in meeting real-time requirements for food freshness identification.

Active Publication Date: 2018-06-29
HEFEI MIDEA INTELLIGENT TECH CO LTD
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Problems solved by technology

[0004] (1) The recognition rate is low, and it is difficult to deal with the freshness recognition of ingredients in complex scenes
[0005] (2) The calculation complexity is high, and it is difficult to meet th

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  • Food material freshness identification method and device based on deep learning, refrigerator and medium
  • Food material freshness identification method and device based on deep learning, refrigerator and medium
  • Food material freshness identification method and device based on deep learning, refrigerator and medium

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Embodiment Construction

[0053] 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.

[0054] 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.

[0055] figure 1 A schematic flowchart of a deep learning-based food freshness identification method according to an embodiment of the present invention is shown.

[0056] Such as figure 1 As shown...

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Abstract

The invention provides a food material freshness identification method and device based on deep learning, a refrigerator and a medium. The method comprises the following steps that food material imageinformation is collected; according to the food material image information and a pre-trained food material freshness identification model, food material freshness identification result information isdetermined; and on the basis of deep learning, the food material freshness identification model is trained and updated by taking the food material image information collected in the food material freshness identification process as a sample according to a preset period. According to the technical scheme, the identification accuracy is relatively high, real-time identification can be achieved, optimization and improvement are carried out in the application of the food material freshness identification model, so that the application range of food material freshness identification is improved, and the method and the device can be applied to complex scenes.

Description

technical field [0001] The present invention relates to the technical field of smart refrigerators, in particular, to a deep learning-based food freshness recognition method, a deep learning-based food freshness recognition 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, and the identification of freshness of ingredients is an important information provider for intelligent services. way. [0003] In related technologies, the freshness of ingredients is generally recognized through image matching recognition, which has the following technical defects: [0004] (1) The recognition rate is low, and it is difficult to recognize the freshness of ingredients in complex scenes. [0005] (2) The calculation complexity is high, a...

Claims

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Application Information

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IPC IPC(8): F25D29/00
CPCF25D29/00
Inventor 唐红强戴江
Owner HEFEI MIDEA INTELLIGENT TECH CO LTD
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