Recently, many accidents related to the safety of children have occurred. Many parents are concerned about the management of their children, such as deaths due to failure to get off the kindergarten bus or violence caused by kindergarten or academy. To solve this problem, this paper aims to develop an intelligent child safety management system. To develop an intelligent system, we will use RFID, GPS, and real-time image recognition. It locates, recognizes and identifies RFID readers in the main activity areas of infants and toddlers, acquires location information through GPS satellites of location-based services, and predicts the time required through geocoding. Two of the most representative technologies based on location recognition are used to manage bus rides and drop-offs for infants and children. And indoor activity detects facial feature points through ASM from video captured by real-time CCTV, and recognizes them using HMM technique to store information. The stored information is provided in real time to those who want to browse the information through the system. The system implementation consists of infant management, school attendance management, and activity history management. In the future, it is expected to collect various information about infants in real time using this system and to use it to provide customized services.