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Design Of Home Security System Based On Raspberry Pi And Air724UG On OneNet

Posted on:2022-06-28Degree:MasterType:Thesis
Country:ChinaCandidate:J X FangFull Text:PDF
GTID:2492306491952219Subject:Computer Hardware Technology
Abstract/Summary:PDF Full Text Request
In recent years,gas leakage,fire,burglary and other major safety accidents have occurred frequently,it has become a topic of social concern to ensure the residents’ own safety and property safety in their rooms.With the development of artificial intelligence technology,intelligent security and environmental detection products have also continued to increase and be applied to thousands of households,smart communities are also increasing.But,many security equipments are not perfect or even have loopholes.For example,the password fingerprint lock recognized by the public will have problems such as password leakage and fingerprint copying;the smart community access control cannot completely distinguish and prevent the entry of irrelevant outsiders;the risk of face recognition lock will rise when the front and side photos of faces are leaked and 3D digital is born.In order to fully protect family property and personal safety,further safety protection indoors will be very important,so a home security system based on Raspberry Pi and Air724 UG on OneNet was designed.Compared with the traditional indoor security,the system not only retains Wi Fi and broadband network access,but also increases the base station transmission.Base station transmission makes the data transmission no longer limited to LAN,Bluetooth,Wi Fi and other small-scale transmission.At the same time,it also solves the problem that only base station signal but no optical fiber line coverage or no broadband network access.Most of the traditional security monitoring is real-time video monitoring,which not only takes up a large amount of memory,but also consumes a lot of traffic.A small number of cameras that have been specially processed can monitor the dynamic images,but they need to pay for the rental of cloud video platform,which is expensive.The system uses ordinary USB or CSI cameras to realize the dynamic image monitoring through the special processing of raspberry pie,which reduces the cost Memory consumption and traffic consumption reduce the use cost.The system design includes indoor temperature and humidity detection,combustible gas detection,door and window opening and closing state detection,indoor smoke detection,indoor dynamic monitoring,communication alarm and indoor buzzer alarm,its communication alarm and indoor buzzer alarm design will automatically detect the presence of indoor security risks,immediately to the system bound mobile phone number for phone calls and SMS reminder,at the same time,the indoor buzzer ring,so that the occupants can be reminded regardless of whether they are indoors or outdoors,effectively avoid the adverse consequences caused by the existence of safety risks to ensure the safety of the living environment.The system will finally upload all collected indoor information to the free OneNet Io T cloud platform,allowing indoor occupants to observe the indoor environment clearly and intuitively through terminal devices regardless of whether they are indoors or outdoors.The main work of this thesis is as follows:(1)This thesis analyzes the shortcomings of the existing indoor security,combined with the most common security risks in domestic families,designs a family security system with high reliability,high stability and low cost.(2)Aiming at the problem of small-scale data transmission through LAN,Bluetooth,Wi Fi and so on,this thesis designs a way of combining Raspberry Pi and air724 ug,so that data transmission and communication can be completed through the base station.(3)Aiming at the problems of high monitoring cost,memory and traffic consumption of existing indoor security,the system uses ordinary camera to realize indoor dynamic picture monitoring by programming on Raspberry Pi,which reduces memory and traffic consumption while reducing the cost.(4)All data results and images detected by the system are uploaded to the OneNet cloud platform through the Raspberry Pi,so that the detection results can be clearly displayed on the terminal device(for example: phone,ipad and so on),which solves the problem of high rental or development costs for the cloud storage platform.problem.
Keywords/Search Tags:Raspberry Pi, Air724UG module, OneNet cloud platform, dynamic monitoring, indoor environment detection
PDF Full Text Request
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