IoT approached based intrusion detection using Raspberry PI

dc.contributor.authorSyed, Zeeshan Ali
dc.contributor.authorMomin, Akibrja S [14DET52]
dc.date.accessioned2019-09-06T04:50:35Z
dc.date.available2019-09-06T04:50:35Z
dc.date.issued2018-05
dc.description.abstractRecently security concerns have grown tremendously, it is important for all to be able to safeguard their property from worldly harms such as thefts, destruc- tion of property etc. As the technology is widely growing in modern world, the methodologies used by thieves and robbers are also equally improved in stealing. Therefore, it is necessary for the surveillance techniques also to be improved with the changing world. The latest technologies used against theft and destruction are the video surveillance and monitoring. Even when needed, having a security camera system may sometimes be impossible due to the ex- pensive cost for installation. Raspberry pi is credit card sized computer that has the capability to be- come a camera security system when its own camera board is used. A new methodology has been developed to detect the motion. Pyroelectric infrared (PIR) sensors are used instead of any algorithm for motion detection. When- ever the motion is detected through PIR sensor inside the room, the image is captured through camera and temporarily stored in the raspberry pi module. After motion is detected user gets push up message on android without any delay and here python script is also used which directs the pi to send email noti cations everytime motion is detected With these components, a cost ef- fective, low power and e cient security camera system is made. Therefore, advantages like these, makes this application ideal for monitoring in prevented or secured areas.en_US
dc.identifier.urihttp://www.aiktcdspace.org:8080/jspui/handle/123456789/3245
dc.language.isoenen_US
dc.publisherAIKTCen_US
dc.relation.ispartofseriesPE0334;
dc.subjectProject Report - EXTCen_US
dc.titleIoT approached based intrusion detection using Raspberry PIen_US
dc.typeProject Reporten_US
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