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Intelligent early warning method based on deep learning

A deep learning and intelligent technology, applied in machine learning, alarms, voice analysis, etc., can solve the problem of less application of keyword recognition and abnormal behavior detection technology, and achieve the goal of avoiding personal injury, efficient acceptance, and prevention of dangerous accidents. Effect

Inactive Publication Date: 2021-07-30
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

The acceptance of mass complaint cases is an important branch of the judicial field, and the complexity and number of cases are also increasing, but keyword recognition and abnormal behavior detection technologies are rarely used

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  • Intelligent early warning method based on deep learning
  • Intelligent early warning method based on deep learning
  • Intelligent early warning method based on deep learning

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Embodiment Construction

[0024] specific implementation plan

[0025] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention, and the described embodiments are only part of the implementation of the present invention example, not all examples. 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.

[0026] The invention is mainly applied to the intelligent early warning of the staff, timely discovers whether the masses have negative emotions and gives the level of dangerous behavior. Avoid personal injury and improve the efficiency of mass case acceptance.

[0027] The present invention receives the voice content of the...

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Abstract

In the process that the masses reflect the requirements of the masses to the local government, the masses possibly have the mood excitation phenomenon due to the fact that workers cannot fully accept the problems of the masses, the national official officers are injured, and social contradictions are generated. At present, there are few methods for providing intelligent safety early warning for workers. The invention provides an intelligent safety early warning method based on a deep neural network. According to the method, the masses are monitored based on voices and videos, detection is carried out through voice keywords and videos, results of the two parts are comprehensively judged based on a fusion algorithm, and the final danger level is given. According to the invention, external security personnel can timely find whether the masses have negative emotions and give dangerous behavior levels, so that physical protection measures can be timely taken, personnel injury is avoided, visiting efficiency is improved, and social stability is maintained.

Description

technical field [0001] The invention relates to an intelligent early warning method based on deep learning, which enables staff to timely discover whether the masses have negative emotions and give a level of dangerous behavior, and take protective measures in advance to avoid personnel injuries. Background technique [0002] Keyword recognition and abnormal behavior detection technology is a technology that is widely used in the field of deep learning. It refers to judging people's emotional dissatisfaction or dangerous actions by extracting keywords in speech and analyzing the movement distance of people's skeletons in video images. . [0003] Deep learning has also been widely used in judicial case processing. Keyword identification and abnormal behavior detection are closely integrated with judicial case handling to provide security for staff. The acceptance of mass complaint cases is an important branch of the judicial field, and the complexity and number of cases are...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06Q50/26G08B21/02G10L15/02G10L15/04G10L15/06G10L15/26G10L25/63G06N20/00
CPCG06Q50/265G10L15/04G10L15/02G10L15/063G10L15/26G10L25/63G08B21/0208G08B21/0225G06N20/00G10L2015/027G06V40/10G06F18/22G06F18/24G06F18/214
Inventor 林高锋杨一帆柯德劲郭济
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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