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Auxiliary method and system for building blocks by children

An auxiliary system and building block technology, which is applied to instruments, biological neural network models, and character and pattern recognition. Easy to learn effect

Active Publication Date: 2018-08-28
SOUTH CHINA NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing object-based detection algorithms are generally used in a complicated process, and the recognition stability of three-dimensional space objects is not high

Method used

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  • Auxiliary method and system for building blocks by children
  • Auxiliary method and system for building blocks by children
  • Auxiliary method and system for building blocks by children

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Experimental program
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Embodiment 1

[0052] Such as figure 1 As shown, the present invention provides an auxiliary method for building blocks for children, comprising the following steps:

[0053] S1. Build an image recognition neural network model. The deep learning model uses a convolutional neural network CNN to construct a serial-parallel combination convolutional neural network;

[0054] S2. Use the neural network model to train the building blocks of the finished product to obtain a training model, which is used to assist in building the finished building block. After the training is completed, the model and the corresponding classification label are output;

[0055] S3. Take a picture of a building block, input the trained model, and the model will output the label name after calculation according to the learning results, which is the next operation that should be performed on the building block.

[0056] Such as figure 2 As shown, in step S1, the entire network of the neural network model includes 95 c...

Embodiment 2

[0060] Such as Figure 4 As shown, the present invention also provides an auxiliary system for building blocks for children, including:

[0061] A neural network model construction device is used to construct an image recognition neural network model, and the deep learning model adopts a convolutional neural network CNN to construct a serial-parallel combined convolutional neural network;

[0062] The graphic feature classification training device is used to use the neural network model to train the building blocks of the finished product to obtain a training model, which is used to assist the building of the finished building block, and outputs the model and the corresponding classification label after the training is completed;

[0063] The image recognition device is used to take a picture of a building block, input the trained model, and the model is calculated according to the learning results, and the output label name is the next operation on the building block.

[006...

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Abstract

The invention discloses an auxiliary method and system for building blocks by children. The method comprises: S1, constructing an image recognition neural network model, employing a convolutional neural network (CNN) by a deep learning model to construct a series-parallel combined convolutional neural network; S2, carrying out training by using a step of building a finished building block productby a neural network model to obtain a training model for assistance of building a finished building block product, and outputting the model and a corresponding classification tag after training completion; and S3, shooting a building block photo, inputting the trained model, carrying out operation based on a learning result by the model, and outputting a tag being the follow-up operation on the building block. According to the invention, the neural-network-based graphical feature model training system with the high performance requirement is separated from an image identification device with the low performance requirement, so that the identification device has advantages of light weight, simpleness, good learning performance, low cost, and high mobility and the like at the user level.

Description

technical field [0001] The invention relates to the technical field of smart education, in particular to an auxiliary method and system for building blocks for children based on machine vision and deep learning. Background technique [0002] In the process of children's growth, the role of toys in training children's thinking cannot be ignored. Building blocks is a creative toy, which is very beneficial to children's thinking training during the enlightenment period. Therefore, it is necessary to invent a set that can guide and assist children. Build a system of building blocks, so that children can exercise their spatial thinking ability and hands-on ability under the guidance of the system, and gradually form a sense of three-dimensional space. Existing object-based detection algorithms are generally complicated to use, and the recognition stability of three-dimensional space objects is not high. Contents of the invention [0003] In view of this, in order to solve the ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/217G06F18/241
Inventor 张准黄郑重陈元陈展奕黄琨
Owner SOUTH CHINA NORMAL UNIVERSITY
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