AI Block Arrangement Recognition for Accessible Music Coding
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Solution Overview
Problem
Existing coding education methods, particularly for visually impaired individuals and those with disabilities, are not efficient and do not suitably utilize coding toys for practical learning.
Innovation Solution
A method and device that utilize an imaging device and an artificial intelligence neural network model to recognize the arrangement structure of blocks, determining the arrangement of blocks and playing music based on this structure, incorporating a coding algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional coding education methods are used with coding toys, then coding education can be provided to students, but it is difficult for students with disabilities (visual impairment, borderline intelligence disorder) to learn effectively
Solution Approach 1:
The patent replaces the mechanical/visual system of traditional coding toys with an AI-based image recognition system. The imaging device captures block arrangements, and the AI model automatically interprets them, eliminating the need for students to manually program or visually inspect complex coding structures. This substitution makes the system accessible to students with visual impairments and cognitive disorders.
Solution Approach 2:
The system enables self-service learning by automatically recognizing block arrangements and generating corresponding music or coding interpretations without requiring manual intervention from educators or complex setup from students. The AI model autonomously processes the block configurations and provides immediate feedback through music playback.
2Adaptability or versatility
If AI image recognition is used to recognize block arrangements, then coding education becomes accessible to visually impaired students, but the system complexity increases
Solution Approach 1:
The imaging device serves multiple functions: it captures block arrangements for recognition, provides visual feedback for non-disabled students, and enables AI-based interpretation for both music generation and coding education. This multi-functionality reduces the need for separate specialized devices for different student needs.
Solution Approach 2:
The AI model acts as an intermediary between the simple block arrangement and the complex interpretation required for coding education or music generation. It bridges the gap between the physical blocks and the digital/cognitive processing needed, making the system accessible without requiring complex direct interactions from students.
3Productivity
If block arrangements are manually interpreted for music playback, then simple systems can be used, but education efficiency and productivity are low
Solution Approach 1:
The patent replaces manual interpretation methods with automated AI-based image recognition and music generation. The system automatically captures block arrangements through imaging, interprets them using trained neural networks, and generates music playback, eliminating the need for manual coding or interpretation and significantly improving education efficiency.
Data Source
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AI summary
Disclosed are a method and a device for playing music by using blocks. The music playing method using at least one blocks, which is performed by the music playing device according to an embodiment of the present disclosure, may include capturing an image including the at least one or more blocks through a reception device mounted on the music playing device, recognizing the captured at least one or more blocks by using a trained deep learning neural network model, determining an arrangement structure of the recognized blocks, and playing the music at the music playing device, based on the determined arrangement structure.