Ulsan University announced on the 27th that the Industrial-Academic Cooperation Group recently held a final performance report (photo) on the "2020 AI Learning Data Building Project" supported by the Ministry of Science and ICT to build AI data sets for self-driving drones.
The project, which invested KRW 2.3 billion, including KRW 1.9 billion in state funds, was led by Ulsan National University, Gyeongbuk University, Seo Hong Tech, USIS, MMP, Human Drone Development, and Dantnet.
Cho Kang-hyun, a professor of electrical engineering at Ulsan University, developed a service to detect the same person by analyzing the body and clothing color in photos of the missing person by taking pictures of the tourist site with a drone equipped with human detection software. At the same time, it has developed a service that analyzes density between vehicles around tourist attractions and roads by detecting areas by using SSD (Single Shot Multibox Detector), an artificial intelligence learning model.
The team of Kang Hyun-deok of Seohong Tech has developed four systems for predicting abnormal behavior, including assault, wandering, fainting, and gathering of people in the city.
A-Tech Kim Jung-wan's national team has developed a technology that detects important information such as people in the video by filtering forest land learning data taken with drones. In particular, the technology attracted attention as a service to find survivors in dangerous places such as cliffs or injured in bushes.
Cho Kang-hyun, a professor at Ulsan University, said, "If AI, a core technology of the 4th Industrial Revolution, and drones, which are new growth areas, will revitalize major industries such as automobiles, shipbuilding, tourism resources, and cultural contents."
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