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  • The Guangdong Provincial Engineering Technology Research Center of Generalized Human body Information Perception and Pattern Analysis

The Guangdong Provincial Engineering Technology Research Center of Generalized Human body Information Perception and Pattern Analysis

April 14, 2025 Robotics and Artificial Intelligence

The Guangdong Provincial Engineering Technology Research Center of Generalized Human body Information Perception and Pattern Analysis aims to study the original cutting-edge technologies of generalized perception and pattern analysis, and promote the development of Guangdong Province in the field of related technology applications. As a key sub-topic of artificial intelligence, generalized perception and pattern analysis of body surface is a key pillar for enabling the future and realizing the implementation of artificial intelligence in the fields of big health, security, and intelligent manufacturing. The center will combine new-generation information technologies such as artificial intelligence and big data, and take the needs of new-generation feature recognition and Traditional Chinese Medicine intelligent medical diagnosis as the main guideline, to carry out extensive research on biometric feature recognition, promote the construction of a feature information standard database, accelerate biometric feature recognition technology from the source, and more importantly, to provide a key technical platform for the development of new-generation artificial intelligence industry and biometrics industry in Guangdong Province.

The center will take "theory leads technology, technology promotes application, and application supports industry" as the core research and development concept, to carry out the exploration of pattern recognition technology theory and core technology, and promote the research and development of generalized perception technology and its application system. In terms of theoretical research, the center will focus on basic theory while conducting in-depth research on outstanding issues in pattern analysis such as computational models, data integration, and learning methods. In terms of improving engineering capabilities, the center will emphasize the training of technical personnel, the transformation of technological achievements, equipment development, and standard setting. In terms of promoting industrialization, the center will cooperate with enterprises to establish an industry-university-research cooperation mechanism to jointly promote the industrialization of technological achievements.

 

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