Photovoltaic mobile end LIFI antitheft alarm apparatus

Abstract

The invention discloses a photovoltaic mobile end LIFI antitheft alarm apparatus. The apparatus comprises a wireless communication module, and further comprises a user mobile phone end, a community security end, an alarm receiving center end, a smoke detection system, a combustion gas detection system and an entrance guard system, wherein the user mobile phone end, the community security end, the alarm receiving center end, the smoke detection system, the combustion gas detection system and the entrance guard system are in signal connection with a central control end through a wireless communication module, the entrance guard system comprises an entrance guard controller, an entrance guard, a storage database storing user information, an electrical controller, an infrared camera and an identity identification system, the entrance guard controller is connected with an electronic door lock through the entrance guard, and the entrance guard controller is also in wireless communicating connection with the identity identification system, the storage database, the electrical controller and the infrared camera. The photovoltaic mobile end LIFI antitheft alarm apparatus is simple in structure, convenient to control and high in reliability, has multiple identity identification modes, greatly improves the household security performance and can effectively reduce electricity consumption.

Description

technical field [0001] The invention relates to the field of smart home communication, in particular to a photovoltaic mobile terminal LIFI anti-theft alarm device. 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 very important. Fingerprint recognition has a long history as an identification technology, although the use of IC access control card technology is far from being able to reliably confirm 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

Images