Intelligent electronic monitoring supervision system based on multi-label classification

As the current electronic monitoring supervision system faces the problem of increasing work fatigue of probation officers and decreasing the efficiency of supervision work due to the rapid increase in the number of probationers, the Ministry of Justice is trying to solve the problem through an artificial intelligence-based electronic supervision service. To solve this problem, we propose an intelligent electronic monitoring supervision system that builds a daily life model using the location information of each probationer and applies it to real-time location information to detect individual deviations (abnormal situations) and provide the cause of deviation. Furthermore, we demonstrate the feasibility and efficiency of the proposed method through simulations that detect deviations from daily routines based on collected location information.