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
CN113191209AInactive Publication Date: 2021-07-30UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2021-07-30
Estimated Expiration
Not applicable Β· inactive patent

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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.
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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...

Claims

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