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Campus violent behavior detection system and method based on deep learning

A deep learning and detection system technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problems of untimely discovery, lack of attention, and missing the best time, and achieve the effect of improving monitoring efficiency

Pending Publication Date: 2020-05-22
JIANGSU UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In many cases, school teachers and security personnel could have discovered this violent behavior in time through surveillance cameras and stopped it, but because they did not discover it in time or did not pay attention to the surveillance cameras, they missed the best time to stop this kind of behavior

Method used

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  • Campus violent behavior detection system and method based on deep learning
  • Campus violent behavior detection system and method based on deep learning
  • Campus violent behavior detection system and method based on deep learning

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Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] Such as figure 1As shown, the campus violence detection system based on deep learning in the embodiment of the present invention includes an image data management module 10 , a deep learning algorithm training management module 20 and a human-computer interaction management module 30 . Wherein, the image data management module 10 is used to obtain the image data of the campus violence scene and the non-school violence scene, and classify and mark the im...

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Abstract

The invention provides a campus violent behavior detection system and method based on deep learning. The detection system comprises an image data management module which is used for obtaining image data of a campus violent behavior scene and a non-campus violent behavior scene, and carrying out the classification marking and image augmentation of the image data, so as to generate a training data set and a test data set; a deep learning algorithm training management module which is used for constructing a target algorithm model based on the neural network algorithm model, and training and testing the target algorithm model according to the training data set and the test data set to generate a campus violent behavior detection algorithm model; and a man-machine interaction management modulewhich is used for judging the image data acquired by campus monitoring in real time by adopting a campus violence behavior detection algorithm model, and giving an alarm if a judgment result shows that campus violence occurs.

Description

technical field [0001] The invention relates to the technical field of image detection and recognition, in particular to a deep learning-based campus violence detection system and a deep learning-based campus violence detection method. Background technique [0002] Campus violence mostly occurs on the campuses of primary and secondary schools. In most cases, students deliberately abuse their physical strength to physically beat one or more students in remote corners of teaching buildings, dormitories and campuses. Serious physical and psychological harm. In many cases, school teachers and security personnel could have discovered such violent acts in time through surveillance cameras and stopped them, but because they did not discover them in time or did not pay attention to surveillance cameras, they missed the best time to stop such acts. Contents of the invention [0003] The present invention aims to solve one of the technical problems in the above-mentioned technologi...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06N3/06
CPCG06N3/08G06N3/061G06V40/20G06V20/52G06N3/045G06F18/214Y02T10/40
Inventor 余光辉范洪辉徐镪朱洪锦
Owner JIANGSU UNIV OF TECH