Campus bullying behavior early warning system and method based on artificial intelligence technology

Abstract

The invention discloses a campus bulwark behavior early warning system and method based on an artificial intelligence technology. The system comprises a processor, a student terminal and a teacher terminal. The processor is used for executing calculation and artificial intelligence analysis; the student terminal is used for students to carry out bulking alarm, the teacher terminal is used for teachers to receive information sent by the processor and carry out subsequent processing according to the sent information, the processor comprises a memory, a basic database is stored in the memory, andthe basic database comprises information of all students. The system can be used for carrying out accurate bulking early warning.

Description

technical field [0001] The invention relates to a campus bullying early warning system and method based on artificial intelligence technology, belonging to the field of campus intelligence security. Background technique [0002] It is well known to apply artificial intelligence technology to campuses to monitor campus security or to realize intelligent automation of campus information management. For example, CN101674461A discloses an intelligent network monitoring system for primary and secondary school campus security. The equipment realizes the alarm of abnormal situation on campus. CN104349127 also discloses a similar device. It can be seen that the application of artificial intelligence technology to campus security or informatization is already a well-known technology. On this basis, people have proposed some new applications for campus intelligence technology. Applications are often guided by actual needs. In schools, in addition to campus safety being a topic of ge...

AI Technical Summary

Problems solved by technology

This method has the following disadvantages: primary and secondary school students are generally not allowed to bring mobile phones into the campus, because primary and secondary school students have poor resistance to mobile phones, poor ability to distinguish right from wrong, and are easy to become addicted to mobile phones and waste their studies, so the current campuses generally prohibit students Entering with a mobile phone, the second is that this method is expensive, and each person needs to be equipped with a smart phone. The third is that the amount of information processing is huge. This method needs to analyze every movement and language of each student. First of all, the current algorithm It is not accurate enough, even if an accurate algorithm can be developed in the future, the amount of information processing will inevitably be huge. Uncivilized language and anger often appear when playing and playing. This kind of judgment method lacks quantitative indicators, and the judgment is easy to make mistakes.

The above method has the following disadvantages: first, the amount of information to be processed is huge, and primary and middle school students usually play together after class, so the above method actually needs to identify and calculate all students; second, the existing facial expression analysis The method is not accurate enough, and cannot accurately identify expressions such as nervousness and fear, especially in the case of long-distance photography; third, the recognition degree of facial recognition is not high in the case of long-distance photography; It is obviously inappropriate to add one of them to the dangerous student database because it is not easy for the security guard to determine whether it is bullying at that time. After the security guard mistakenly includes the student in the dangerous student database, the student's parents and the student themselves will definitely have strong feelings. Resist and dissatisfaction, and even go to school to harass and make trouble, seeking fairness

[0003] A comprehensive analysis of the above existing technologies shows that there are at least the following disadvantages in the prior art methods for early warning of campus bullying behavior: 1. The amount of information processing is huge; 2. The distance of video monitoring is long, which leads to a decrease in the recognition rate of bullying behavior; 3. It is easy to cause misunderstandings and psychological grudges among parents; 4. The judgment indicators are only qualitative, and the judgments are not accurate enough, and misjudgments often occur; 5. The cost is high

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