IOT Theft Detection Using Raspberry Pi!

D. V
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Abstract

Here we propose IOT based theft detection project using Raspberry Pi where we use image processing on live video to detect theft using motion and also highlight the area where motion occurred. This system secures offices/homes from theft by instantly detecting theft as well as allowing user to view the theft details thereby highlighting the theft details and saving the video in a usb drive. In this system we use a camera along with raspberry pi along with a circuit with LCD display IR for night vision and USB drive for storage. The system is powered y a 12V power supply. As soon as camera motion is detected in camera footage the system uses image processing to detect exact area of motion ccurrence and highlights it accordingly. The system now transmits the images of the occurance over IOT to be viewed by user online. We here use IOT Gecko to develop the online system. Also it stores the footage in a USB drive for further reference. The user can now decode the data sent online using IOT Gecko IOT system to view the images of the motion occurance live remotely over internet. Thus the system provides an innovative approach to theft detection using IOT.
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物联网盗窃检测使用树莓派!
在这里,我们提出了基于物联网的盗窃检测项目,使用树莓派,我们在现场视频上使用图像处理来检测使用运动的盗窃,并突出显示运动发生的区域。该系统通过即时检测盗窃以及允许用户查看盗窃细节,从而突出显示盗窃细节并将视频保存在usb驱动器中,从而确保办公室/家庭免受盗窃。在这个系统中,我们使用相机和树莓派,以及LCD显示IR夜视和USB驱动器存储电路。系统由12V电源供电。一旦在摄像机镜头中检测到摄像机运动,系统就会使用图像处理来检测运动发生的确切区域并相应地突出显示。该系统现在通过物联网传输事件的图像,供用户在线查看。我们在这里使用IOT Gecko开发在线系统。它还将录像存储在USB驱动器中以供进一步参考。用户现在可以使用物联网Gecko物联网系统解码在线发送的数据,通过互联网远程查看运动发生的图像。因此,该系统提供了一种利用物联网进行盗窃检测的创新方法。
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