Gelingshentong releases new smart campus sports products: a major AI revolution in campus sports

Gelingshentong releases new smart campus sports products: a major AI revolution in campus sports

It is inevitable for AI to enter the campus sports scene.

What are the most suitable application scenarios for visual AI besides security? This issue has also been hanging over the industry for a long time. Security is naturally a very important and broad scenario, and the absolute value of the market size is currently the highest, but what new scenarios and new imaginations are there?

Recently, the AI ​​company Geling Shen Tong officially released three new products: Shen Tong A Tong Mu Sports Training and Examination System, Shen Tong A Tong Mu Somatosensory Interactive System and Shen Tong A Tong Mu Sports Big Data Analysis System. This is also one of its three new products. The smart sports business line made its official announcement for the first time.

Gesture recognition, where is the difficulty

In terms of 3D vision technology, Green Eyes is the leader in the industry in terms of technical strength and industry application experience. This first-mover advantage also allows Gelingshentong to play a major revolutionary role in efficiency of AI when entering the sports field - Sports education also has a late-mover advantage, skipping 2D and going directly to 3D The era of visual technology.

In the field of rail transit operation and maintenance, Greenshenpu's 3D reconstruction and stereo vision analysis technology solves the problem of large errors in traditional algorithms, making it possible to apply computer vision technology to rail transit maintenance; in sports In the field of health, Green Eye's 3D stereo vision technology not only reduces equipment costs, but also improves reliability and ease of use. At the same time, motion posture analysis technology collects human body posture data in different scenarios and independently develops three-dimensional human bodies. The posture estimation algorithm can overcome problems such as inaccurate and unstable collection of key points on the human body.

In fact, since July 2019, Greenfield has been cooperating with relevant universities to use AI to assist the training of competitive athletes, providing technological services to competitive teams in professional fields such as basketball, walking, ice sports, and physical fitness improvement. .

Specifically, Geling Shen Tong obtains athletes' two-dimensional and three-dimensional posture and environmental data through visual technology, combines the action model library and the characteristics of human sports functions to evaluate the training quality of athletes, monitor training trends, and provide Coaches provide data reports that can guide training.

With the release of three new products of Gelingshentong Smart Campus Sports, artificial intelligence technology has finally come to the campus scene after subverting many scenes, trying to solve youth sports problems that have long been concerned by the society.

Ensuring the health and fitness of primary and secondary school students is an urgent task for school sports

Sports has always been a weak area in primary and secondary education, which has also led to unsatisfactory physical indicators among our country's adolescents.

According to data from the Eighth National Student Physique and Health Survey, my country's adolescents still have poor vision and high myopia rates, an increase in overweight and obesity rates, a decline in students' grip strength, and a decline in college students' physical fitness. The situation needs to be solved urgently.

The country is also aware of the importance of sports. In recent years, policies surrounding youth physical education have been introduced one after another. In the "Opinions on Deepening the Reform of Education and Teaching to Comprehensively Improve the Quality of Compulsory Education", the specific goal of "allowing each student to master 1 to 2 sports skills" is stipulated; and in the "Outline for Building a Powerful Sports Nation", "Youth Sports Services The system has become more complete, physical literacy has been significantly improved, and health conditions have been significantly improved." has been written into the strategic goal; the "Opinions on Deepening the Integration of Physical Education and Promoting the Healthy Development of Adolescents" proposes that "adequate physical education classes should be opened to all students" and " "Achieve civilized spirit and barbaric physique"; the State Council's "Opinions on Comprehensively Strengthening and Improving School Physical Education in the New Era" even proposes to "establish an inspection mechanism that combines daily participation, physical fitness monitoring and special sports skill testing." With the encouragement of policies, the physical education high school entrance examination scores in various places have been improved, and the physical education high school entrance examination scores in some areas have even been mentioned as 100 points.

In the "Compulsory Education Curriculum Plan and Curriculum Standards (2022 Edition)" issued by the Ministry of Education in April 2022, it is clear that "Physical Education and Health" courses account for 10%-11% of the total class time, second only to Chinese ( 20%-22%), mathematics (13%-15%), higher than foreign languages ​​(6%-8%), ranking third.

In addition to the proportion of class hours, in terms of absolute duration, in June 2022, "guaranteeing students to participate in no less than one hour of physical exercise every day during school" was also written into the newly revised "Sports Law of the People's Republic of China".

Young people represent the future of the country. Only by strong young people can we ensure China's vitality in the increasingly fierce national competition.

However, there are many differences between campus scenes and professional sports scenes. AI technology cannot be simply imported and used. It also needs to be refined and adjusted according to the scene. It requires AI companies to have a deeper understanding of campus sports and know the teachers well. and students’ pain points.

In this regard, Gelingshentong also conducted very in-depth research in advance. Gelingshentong discovered that today, as the value of data becomes more and more prominent, in the field of campus sports, there is a large amount of wastage of student sports data. Specific manifestations include the lack of feedback and evaluation by students, the lack of guidance basis by teachers, and the lack of statistical methods by managers.

How does Gelingshentong’s smart campus sports products meet the needs of the school

Problems such as data waste, lack of retention and development in the field of school sports also mean that school sports have long remained in the "handicraft" era.

Due to the lack of data, it is difficult to provide personalized and specialized guidance and suggestions for students' daily training. Sports evaluation often relies on "empirical theory"; due to the lack of AI equipment, sports testing Too much manpower is occupied, and it is difficult to improve the efficiency of physical education teachers.

Especially as people’s sports awareness increases, the pursuit of sports also requires professionalism and correctness. For example, previous sit-up tests often lacked scientific training, and in the end only looked at the dimension of time. However, sports assessment cannot only look at time, number of times, and distance. Sports training must pay attention to the process in addition to the results, especially the requirements of movement specifications.

The Shen Tong A Tong Mu sports training and examination system, Shen Tong A Tong Mu somatosensory interactive system, and Shen Tong A Tong Mu sports big data system launched by Geling Shen Tong not only establish a complete data collection from the device side , input chain, and also established a complete backend database:

Shen Tong Ah Tong’s somatosensory interactive system has both sports-specific training and fun interactive experience functions. On the one hand, it uses a self-developed intelligent binocular posture camera to detect the posture and movement status of the human body with high precision, giving students scientific movements. Feedback helps students improve their movement standards; on the other hand, it stimulates students' interest in sports through highly interactive sports projects.

Shen Tong A Tong Mu sports big data system is based on the AI ​​sports brain developed by Green Shen Tong. By gathering multi-level student sports data, it analyzes students’ physical fitness, training process, assessment results and other dimensions. And generate analysis reports, which can provide rich data reference for physical education teachers, and can also provide education departments at all levels with comprehensive and in-depth sports analysis data of students in the region, improving the management efficiency of regional physical education.

In other words, Geling Shen Tong’s Shen Tong Ah Tong Eye products are not only products, but also complete systems.

The three series of products not only cover six application scenarios of sports teaching and research, sports examinations, sports after-school services, sports special classrooms, sports daily training, and cloud sports games, but also provide services that can create learning, practice, competition, Evaluate the integrated smart campus sports package solution. It is reported that before this press conference, Greenshentong’s smart campus sports products have been piloted in many campuses across the country, and so far have provided daily teaching support and examination services to more than 20,000 teachers and students at the school.

Gelingshentong also revealed to Yiou.com that it will expand more innovative businesses in the field of human-computer interaction in the future.

An AI revolution in physical education

Different from ChatGPT when it was used in the education field, it caused many teachers to worry about plagiarism in student homework; However, there will be no plagiarism in the school physical training evaluation. For school sports that have always lacked AI empowerment, It can be said that the "AI revolution" in school sports initiated by Gelingshentong is a timely blessing.

These brand-new campus smart sports products use many of Greenshentong’s core technology algorithms, such as monocular 3D Mesh reconstruction, human body tracking and detection, etc. Behind data such as coverage rates of 90% and 100% is the long-term technology accumulation of Green Shen Tong - many technologies Green Shen Tong began to develop and deploy ten years ago.

Relying on Green Shen Tong’s underlying AI technology platform - Shen Tong Brain, its smart campus sports solution supports multi-person sports large-scenario applications and can achieve real-time sports posture assessment and interaction with a delay as low as 200ms.

Gelingshentong is still continuing to train its own large model, and there is still a lot of room for improvement in the future.

Of course, there are specialties in the art industry. Regarding the most popular large model technology in the AI ​​field, many giants are currently launching their own large model products. Gelingshentong has its own vertical technology and business fields. As one of the few AI companies that has achieved profitability, Gelingshentong has always been steady and steady in expanding its boundaries.

In 2022, Green Eyes has completed the upgrade of automatic fine-tuning of cross-category pre-training models and managed a massive amount of domain data.

It is understood that next, Geling Shen Tong will further transform the Shen Tong brain, combine it with the latest zero-shot technology, and conduct multiple rounds of iterations on massive data to complete the data feeding of multi-modal large models. Finally, Make it serve multiple product lines.

Since 2022, a series of algorithm technology innovations have emerged in the artificial intelligence industry, and large model algorithms such as BERT, GPT-3, and DALL-E have shone in many fields. Under the training of massive data, these algorithms have demonstrated a variety of intelligence levels that are close to or even surpass human beings. Not only can they generate texts and images at the level of human authors and painters, but they have also begun to extend to multi-modal and cross-modal modes.

Gelingshentong’s investment in research and development and advance layout of large models is also a way to occupy the commanding heights of technology in advance. Only by standing on the commanding heights can we see the further future clearly and provide a more accurate reference for business layout.

The release of Shen Tong’s new products in the field of smart campus sports is not only launching an AI revolution in the sports field, but also exploring new ways for artificial intelligence to be implemented in more industries for Green Shen Tong. It will become an important engine for the subsequent performance growth of Green Eye.

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