JUFE Students Won First Prize in Chinese International University Student Innovation Competition 2023

Date:2023-12-20 Click：

On December 6th, the national finals of the Chinese International University Student Innovation Competition 2023 (the “Competition”) concluded at Tianjin University. JUFE won one gold prize, two silver prizes, and two bronze prizes. Among them, the project AI Vision—Pioneering a New 'Vision' in Facial Recognition achieved the national gold prize in the graduate student category of the higher education main competition, marking a historic breakthrough for JUFE in winning a national-level gold prize and achieving the best performance in its history.

The competition was jointly organized by the Ministry of Education and 12 other ministries, as well as the Tianjin Municipal People's Government, with Tianjin University as the host. It has attracted over 17 million participants from 5,296 institutions in 151 countries and regions, with over 4.21 million projects. From these, 1,260 outstanding projects entered the final stage of the on-site competition.

JUFE upholds the motto of Honesty, Vitality, Integrity, and Tenacity and the university spirit of Dedication, Harmony and Perfection, forming a distinctive educational feature of cultivating innovative and entrepreneurial talents with the those qualities. In recent years, JUFE has achieved outstanding results in various academic competitions, winning national special awards and gold awards in the Challenge Cup National College Students' Extracurricular Academic Science and Technology Works Competition and the Challenge Cup China College Students' Entrepreneurship Plan Competition. In 2023, JUFE's performance in discipline competitions ranked fourth among universities of humanities and social sciences category.

Award-winning Project Introduction:

Chinese International University Student Innovation Competition (2023) Gold Prize Project

Project Name: AI Vision—Pioneering a New Vision in Facial Recognition

Project Description: The AI Vision project is based on core technologies such as the dense facial key point algorithm, breaking through the limitations of 3D facial recognition and poor AI emotion recognition capabilities. It has independently developed an all-in-one facial recognition PaaS platform, enabling facial feature and emotion recognition in multiple business areas such as medical aesthetics, online proctoring, and AIGC, achieving continuous passive income. The project will continue to focus on enabling AI to recognize and understand human.

Chinese International University Student Innovation Competition (2023) Silver Prize Project

Project Name: E Overseas — One-stop Service Provider for Chinese Cross-border E-commerce Brands Going Global

Project Description: E Overseas leverages its strong overseas self-operated capabilities and successful experience in overseas expansion of self-operated brands in areas such as 3C accessories and maternity apparel. With a powerful professional team to ensure development of the self-operated sector, it also provides overseas expansion services for businesses. It builds a complete cross-border service ecosystem around overseas short video platforms, offering services such as talent cultivation, operational support, joint operations, resource integration, and brand incubation to assist Chinese enterprises in going global.

Project Name: Illuminating with Chips, Empowering the Blind with AI - Creator of Depth Perception for the Visually Impaired

Project Description: According to CCTV reports, there are over 17 million visually impaired people in China. Blind people generally learn cultural knowledge through Braille, which uses raised dots to represent characters. Braille books made of parchment are heavy, contain limited information, are easily worn out and have limited expressive power. Braille devices are mainly monopolized by foreign companies, and have disadvantages such as high prices, slow response, low resolution, large volume, and limited expressive power. In order to solve these problems, the team designed a Braille learning interactive control system based on research conducted in blind associations, blind schools, and special education schools in multiple locations, to help blind people learn more diverse knowledge.