Intelligent safety protection detection system based on big data

Abstract

The invention discloses an intelligent safety protection detection system based on big data. The system comprises an image acquisition module, an image expression feature extraction module, an expression analysis matching module, a pressure detection terminal, a behavior action analysis module, an intelligent database, an inclination risk processing module, a cloud server and a protection execution device. According to the invention, image acquisition and analysis are carried out on the dangerous area of the lakeside protective fence; expressions, behaviors and behavior state inclination degrees of people in the protective fence area and pushing force on the protective fence are judged; expression changes, dangerous behavior actions, inclination angles with the guardrails and pushing and pressing force on the guardrails, which correspond to the personnel, are combined; and the personnel are subjected to comprehensive assessment of the protection rescue danger coefficient to comprehensively judge whether the personnel in the dangerous area of the protective fence have the risk of falling into the lake or not, so that the risk that the personnel fall into the lake can be comprehensively predicted, the efficient rescue effect of combining software and hardware is achieved, and the number of drowned is reduced.

Description

technical field [0001] The invention belongs to the technical field of protection detection and relates to a smart safety protection detection system based on big data. Background technique [0002] With the rapid development of the Internet and big data in recent years, there are more and more applications based on such technologies in various industries. Safety in public areas has always been a topic of concern and concern to people, especially when it comes to waterside areas. , once a person falls into the water, if it is not found in time, it will easily lead to the drowning of the person who fell into the water. People who are in a bad mood are prone to suicidal thoughts. If they have suicidal thoughts, the surrounding people will not be able to rescue them in time, which will cause their death. Therefore, the safety supervision of public areas is very important. [0003] At present, the lakeside in the public area is blocked by protective fences, but it is very easy ...

AI Technical Summary

Problems solved by technology

[0003] At present, the lakeside in the public area is blocked by protective fences, but it is very easy for adults to look through the protective fences. Once someone falls into the water, there are often cases of death due to untimely rescue, which greatly increases the workload of rescuers. , it is impossible to predict the protection and rescue risk factor of personnel according to the behavior and expression of the personnel who fell into the lake before falling into the water, and it is impossible to brake the protective device in time according to the predicted possibility to reduce casualties. In order to solve the above problems, the design A smart security protection detection system based on big data

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