Intelligent household security theft prevention alarming communication system

Abstract

The invention discloses an intelligent household security theft prevention alarming communication system, which comprises a central control end and a wireless communication module, and also comprises a user mobile phone end, a cell security guard end, an alarm receiving center end, a smoke detection system, a fuel gas detection system and an access control system, wherein the user mobile phone end, the cell security guard end, the alarm receiving center end, the smoke detection system, the fuel gas detection system and the access control system are all in signal connection with the central control end via the wireless communication module; the access control system comprises an access controller, a door access, a storage database for storing user information, an electrical controller, an infrared camera and an identity recognition system; the access controller is connected with an electronic door lock via the door access; and the access controller is also in wireless communication connection with the identity recognition system, the storage database, the electrical controller and the infrared camera. The intelligent household security theft prevention alarming communication system has the advantages that the structure is simple; the control is convenient; the reliability is high; various identity recognition modes are provided; the household safety performance is greatly improved; and power consumption can be effectively saved.

Description

technical field [0001] The invention relates to the field of smart home communication, in particular to a smart home security anti-theft alarm communication system. Background technique [0002] At this stage, the security situation in our country is still grim. Many social problems such as burglary and theft occur frequently, and people have unprecedented worries and concerns about their own safety. Therefore, in order to protect the safety of people and property, many families have installed anti-theft nets one after another. However, the traditional home defense system has exposed many hidden dangers in actual use. More and more important, the home anti-theft alarm market will become bigger and bigger. Compared with other home security products, anti-theft alarms have advantages. Surveillance cameras are often limited by cost and limited resolution. It is often impossible to see the scene clearly and determine the perpetrator. In the home security anti-theft system, acc...

AI Technical Summary

Problems solved by technology

Therefore, in order to protect the safety of people and property, many families have installed anti-theft nets one after another. However, the traditional home defense system has exposed many hidden dangers in actual use. More and more important, the market for home burglar alarms will become bigger and bigger

Compared with other home security products, anti-theft alarms have advantages. Surveillance cameras are often limited by cost and limited resolution. It is often impossible to see the scene clearly and determine the perpetrator. In the home security anti-theft system, access control security The system is also crucial. Fingerprint recognition has a long history as an identification technology, although the use of IC access control card technology is far from reliably confirming a person's identity

However, the fingerprints of some people or groups of people are difficult to identify because of the few fingerprint features, and often cannot be identified when the fingers are sweaty, scratched or polluted, and it is not uncommon for fingerprints to be applied. This also shows that although fingerprint identification is more accurate than IC Access control card identification, but it also further illustrates that the means of copying and application cannot be absolutely avoided in the existing identification technology; and the existing face recognition system can achieve impressive results under the condition of user cooperation and ideal acquisition conditions. Satisfying result

However, when the user does not cooperate and the acquisition conditions are not ideal, the recognition rate of the existing system will drop sharply

For example, when the face is compared, there is a discrepancy with the face stored in the system, such as shaving the beard, changing the hairstyle, adding more glasses, and changing the expression, which may cause the comparison to fail

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