Image Recognition Programming for Children's Robots
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Solution Overview
Problem
Programmable robots intended for children's learning and intellectual development are underutilized due to the complexity of programming languages, which require text input and are difficult for untrained individuals, including children, to operate effectively.
Innovation Solution
A simple programming method and device based on image recognition that uses instruction blocks with patterns, allowing users to place blocks in order, acquire encoded images, recognize and compare them to standard images, sort coordinates, and parse instructions for execution by a programmable module, facilitating programming without text input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional programming languages are used for programmable robots, then the robots can execute complex functions, but the programming becomes difficult for children and untrained persons to learn and use
Solution Approach 1:
The patent replaces the traditional text-based programming interface (mechanical keyboard input) with an image-based interface. Users take photographs of physical instruction blocks arranged on a surface, and the system automatically converts these images into executable programming instructions. This substitution eliminates the need for text typing and complex syntax knowledge, making programming accessible to children and non-professionals while maintaining the ability to execute complex robot functions.
Solution Approach 2:
The patent uses physical instruction blocks that represent programming commands, which users arrange spatially to define program sequences. These physical blocks are then photographed and converted into digital instructions. The copying process from physical arrangement to digital execution preserves the intuitive spatial reasoning approach while enabling full programmable robot functionality.
2Measurement precision
If text-based programming languages are required, then precise control is achieved, but the learning curve increases and requires professional training
Solution Approach 1:
The system replaces text-based programming with image-based programming. Users capture photographs of physically arranged instruction blocks, and the system's image recognition technology automatically identifies the blocks, determines their spatial relationships, and converts them into precise programming instructions. This maintains control precision while eliminating syntax complexity and professional training requirements.
Solution Approach 2:
The patent introduces an image as an intermediary between the physical instruction blocks and the digital programming system. The photograph serves as a bridge that captures the spatial arrangement of blocks and transmits this information to the recognition system, which then translates it into executable code. This intermediary approach preserves precision while simplifying the user interface.
3Adaptability or versatility
If keyboard text input is used for programming, then standard programming languages can be utilized, but untrained persons find it difficult to operate
Solution Approach 1:
The patent substitutes the mechanical keyboard input process with a photograph-based input method. Instead of typing text commands, users simply arrange physical instruction blocks and take a picture with a mobile device or camera. The system's image recognition technology then automatically converts this visual input into standard programming language instructions that the robot can execute, making programming accessible to untrained persons while maintaining full programming language capability.
Solution Approach 2:
The system captures a visual copy (photograph) of the physical instruction block arrangement and automatically converts it into digital programming instructions. This copying process eliminates the need for manual text entry while preserving the complete programming functionality, allowing untrained users to leverage standard programming languages through intuitive visual arrangement.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach makes programming accessible and fun for non-professionals, enabling children to easily learn and manipulate programmable devices, maximizing the potential of robots and providing a rich user experience at a low cost.
Implementation Method 1
acquire an encoded instruction block image that represents the instruction block pattern and the placement order
Data Source
AI summary
The disclosure discloses a method and device for image recognition. The method comprises: placing instruction blocks in a required order; acquiring an encoded instruction block image that represents the instruction block pattern and the placement order; recognizing a single instruction block image from the encoded instruction block image; comparing the single instruction block image with a standard instruction block image to obtain the matching degree of the instruction block; determining, according to the matching degree, standard instruction blocks corresponding to respective instruction block images; sorting the instruction block images according to the coordinates in the encoded instruction block image; parsing the instruction block images according to the sorting order to obtain instructions. The method for image recognition can help children learning concepts such as manipulation, use and programming of intelligent programmable devices more easily.