Implementation of vision based intelligent home automation and security system

An intelligent security system that provides a high level of home security using visual surveillance is developed and explored in this paper. This will be very much useful in home and company automation. The main processing unit is a cortex ARM processor with Linux operating system and the board we are using is Beagle Bone Black (BBB). Surveillance system is achieved using OpenCV(open source computer vision) and the communication system is designed by using GSM(Global System for Mobile Communication) Module. Total number of people in a room is counted by using the OpenCV. The user while leaving the premises can give voice command to make the system active. The system continues automatic surveillance when the user left the house or office. It can be modified to turn on automatic surveillance at a specific time of the day. If the user left the premises and the system detects the presence of a human being in there then an SMS will be sent to the Cell phone of the user and the alarm will be turned on. After turning on the alarm the system will start recording video on the SD card so the user can inspect later. The system can also count the number of people in the room by using image processing algorithm and will automatically turns off all the load in the room when no one is present. This will also help to reduce the unnecessary wastage of power.