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Behind the homework help launched the fawn writing class, it has quietly applied for a patent for the evaluation of the quality of writing

author:Zhonghua Net Finance

At present, writing classes are becoming the choice of many children and parents.

Recently, the Homework Gang of EdTech Company announced the launch of Fawn Writing to solve the writing pain points for children aged 7-12.

It is reported that the homework help of the deer writing course, focusing on the quality education of children aged 7-12, is an online hard pen standard calligraphy class tailored for children. Since its official launch last year, it has been welcomed by parents with its scientific and interesting and unique product characteristics, and has emerged in the quality education curriculum.

The curriculum adopts scientific teaching concepts and animated scenarios to effectively stimulate children's interest in learning. The curriculum expands traditional cultural content such as idioms and stories, calligraphy knowledge, etc., and improves children's writing ability and cultural literacy in multiple dimensions.

Professional calligraphy teachers teach online, and targeted to solve the common problems of five types of students' writing, such as non-standard sitting and holding posture, good and bad writing, wrong stroke order, slow writing speed, and unclean handwriting.

In online learning, users will upload handwritten homework, but the handwritten Chinese character works vary widely, and if you want to evaluate the handwriting quality of Chinese characters and judge whether the writing is neat, it is obviously subjective through human eye observation.

Based on the above reasons, the quality evaluation technology of handwritten Chinese characters based on artificial intelligence assistance has become a hot technology at present.

A few days ago, the reporter found from the official website of the State Intellectual Property Office that the operation gang had "quietly" applied for a patent related to the evaluation of the quality of writing as early as last April, and its operating entity, Xiaochuan Education Technology (Beijing) Co., Ltd., disclosed an invention patent called "writing quality evaluation method, device, electronic equipment and recording medium", with the disclosure number CN111626297A and the application date was April 13, 2020.

Behind the homework help launched the fawn writing class, it has quietly applied for a patent for the evaluation of the quality of writing

The patent abstract shows that the present invention belongs to the field of artificial intelligence technology, providing a writing quality evaluation method, apparatus, electronic device and recording medium, the method comprising the following steps: to obtain a target image with text; to extract at least one of the first handwriting features of at least one text contained in the target image; to extract at least one of the at least one word corresponding to the feature library at least one second handwriting feature The at least one first handwriting feature and the at least one second handwriting feature are compared to evaluate the quality of the writing of the target image. The present invention can evaluate the handwriting quality of handwritten Chinese characters, and obtain fair and objective evaluation results.

According to the patent application, the writing quality evaluation method and apparatus in the present invention only needs to hand-written Chinese character picture data, the data is more readily available, and the calculation is more accurate.

Founded in 2015, Homework Help Education Technology (Beijing) Co., Ltd. has been committed to using scientific and technological means to help education inclusion, using cutting-edge technologies such as artificial intelligence and big data to provide more efficient education-learning solutions.

According to statistics, since the establishment of the company, there have been more than 200 patent applications, covering AI technologies such as speech recognition, natural language processing, image and OCR recognition, as well as big data processing.

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