The invention discloses a campus anti-bullying
early warning system based on
machine learning, and relates to the technical field of safety early warning, an acquisition module is used for acquiring
personnel safety information in a campus, the
personnel safety information comprises
human body action information, language information and expression information, when
feature data meet early warning conditions, sound-light alarm is performed, and when the
feature data meet the early warning conditions, the sound-light alarm is sent out; meanwhile, short message notification is carried out on a campus management personnel terminal,
feature data are classified through the management personnel terminal according to categories, information collection is carried out on personnel involved in bullying events, the personnel are registered and marked as a psychological tutoring terminal, and personnel passing through the tutoring terminal carry out psychological tutoring on objects of the psychological tutoring terminal. According to the invention, through collection of the
human body action information, the language information and the expression information, violent behaviors can be actively identified and early warning can be given out, a victim does not need to give an alarm manually, an alarm can be given in time at the early stage of violent behaviors, related personnel can be notified to carry out intervention, and the campus safety
management efficiency and response speed are greatly improved.