AI Infrastructure Research Section
○ Researchers in our section are devoted in the topics that use machine learning (ML) and deep learning (DL) to develop A.I. features in several domains of applications. Our notable technology include artificial intelligence application technology using object recognition and tracking technology for smart cities, multi-recognition platform technology using edge cameras, Digital twin-based water pipe network control system, and Smart Agricultural and Fishery ICT convergence technology. The section pursue ways to alleviate on-going social demands by contributing A.I. solutions and also aims to support small and medium enterprises (SME) by providing accessible technical solutions for technologies that are in high demand.
○ Real-time recognition and tracking technology for smart-city
- Multi-object tracking and re-identification-based context awareness technology : Detecting and tracking object (human, vehicles, animal etc.)
- Digital twin-based forest fire detection and location tracking technology
○ Multi-object recognition platform technology for safe city
- Edge camera multi-recognition platform technology : Embedded-based object recognition technology
- Optimization tool for site-specific object detection : DB creation and training data
○ Digital twin-based water pipe network control system
- Water pipe network data collection, linkage and management system
- Artificial intelligence water pipe network control technology and integrated system
- Digital twin-based water pipe network operation simulator
○ Smart Agricultural and Fishery ICT convergence technology
- Development of connected farmbot and AI-based autonomous smart farm solution technology
- Development of intelligent smart aquaculture integrated control system technology
Director KIM, Kwangju
- TEL.+82-53-670-8039