The era of artificial intelligence chatbots has opened wide in Korea. On the 10th, the domestic media introduced an artificial intelligence robot that helps the elderly. The human care robot developed by the Intelligent Robotics Research Division of the Electronics and Telecommunications Research Institute (ETRI) is the main character. The Electronics and Telecommunications Research Institute (ETRI) said, "We have developed a robot artificial intelligence technology that understands the elderly, responds emotionally, and provides personalized services tailored to the situation." According to ETRI, the development of human care service robots requires data to recognize people from the robot's point of view and artificial intelligence technology necessary for deep learning.

DeepView is an AI technology recognizing human behavior. As it can be applied to preventing safety accidents caused by drinking, fainting, etc. and performing prompt emergency rescue measures. It is expected to become the core technology for making a safe city. Most existing behavior recognition technologies have a two-stage structure of detecting a person first and then recognizing the position of him/her. Therefore, they had problems of not detecting well a person with atypical postures, such as being crouched or collapsed, compared to a standing person.

A Korean research team developed a technology for detecting humans lying on the road in real-time. Therefore, preventing safety accidents in the city and rapidly responding to it will be possible, and a safer society is expected to be accomplished. The Electronics and Telecommunications Research Institute (ETRI) announced that it applied the technology of Visual AI ‘DeepView’ to Daejeon Metropolitan City in earnest to prevent safety accidents in the city and promptly respond to them. DeepView is an AI technology recognizing human behavior. It detects people lying on the road through surveillance cameras in real-time. As it can be applied to preventing safety accidents caused by drinking, fainting, etc. and performing prompt emergency rescue measures. It is expected to become the core technology for making a safe city.

For the first time in the world, South Korean researchers have developed and demonstrated a smart networking platform that uses edge computing technology converged with artificial intelligence. The platform can recognize faces and situations that take place around edge nodes to take appropriate actions and request emergency service or police support. Edge computing is a network technology that uses nodes located at the edge of a network as local servers that will primarily process data and communicate with the main server if only necessary. The edge computing method greatly reduces the computing burden put on the central server and reduces data traffic between the end-user and the main server. The data transfer speed increases as devices communicate with nodes that are located physically closer.

A visually based artificial intelligence (AI) technology developed by South Korea's Electronics and Telecommunications Research Institute (ETRI) will be deployed on CCTV cameras for detecting and preventing crimes. The AI technology Deep View, developed by ETRI, is applied to the precise recognition of human behavior based on analysis of joints of the human body in CCTV images. The technology precisely tracks movements of people placing down or throwing objects, as well as physical indications of such crimes as illegally throwing away garbage. Applying this technology in the future will proactively detect and prevent crimes and incidents in city areas. So far, there has been much difficulty in recognizing actions appearing in CCTVs, as studies on action comprehension used widely accessible online data such as YouTube videos.