Go to network and enable wireless network. You should now be able to see the home screen of motion eye OS with real time video. Open browser and enter the IP address noted in previous step (ex: 192.168.0.5). Install any IP scanner (ex: advanced IP scanner) on your system and use it to find the IP of your Raspberry Pi (which should be connected to the power supply and LAN cable by now). This is just a one-time process and you can omit the dependency on LAN cable completely after enabling Wi-Fi in your pi and entering its credentials. Place the microSD card back into its slot in the Raspberry Pi, power it on and connect a LAN cable. (If a prompt appears in your computer asking for permission to execute the previous procedure, click on “yes” to continue) Click on flash to burn the image on the microSD card and remove it from your PC when it is done. If it doesn’t or if the microSD is at a different location, you can choose that by clicking on “change” under the middle icon. Open Etcher and select the path of the OS image file by clicking on “ select image”.Įtcher automatically picks up the SD card location if it is connected properly in its slot. Use a SD-card reader to connect SD card to your PC and format it before burning the OS. Then download and install etcher “ ” to burn the image file of the OS in SD card. Here we will be using a Raspberry Pi 3 for primary setup since it has better processing power while the zero is a little weaker in terms of specs.ĭownload the image file named “ ” from the following link “ ”. Primary Camera Setup for CCTV using Raspberry Pi Enclosures for all Raspberry Pi model B (or zero w).5V 2A power supplies – 2 (depending on the number of Raspberry Pi ’s).Hard disc or USB drive depending on what you have. MicroSD card class 10 or better – 2 (Depending on the number of Raspberry Pi ’s).Raspberry Pi 3 Model B or newer – 2 (You can use zero w’s as well for secondary cameras).It comes with advanced features like fast network video streaming, motion detection and notification, integration with dropbox and Google drive, uploading videos and images to the cloud and many more. It supports multiple system on board devices similar to Raspberry Pi (Banana PI, Orange PI One etc.). In this project, we will be using Motion eye OS an open source operating system available for Raspberry Pi to convert it to a smart surveillance system. Pi camera can be easily connected and configured with Raspberry PI, here we have previously built Smart Wi-Fi doorbell using Raspberry Pi and PiCamera. One can add multiple Raspberry Pi’s with cameras. Both PI’s are connected to the same local network for live streaming. Here we are building Home Surveillance System using Raspberry Pi with two Raspberry Pi and Pi cameras.
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