Energy Efficient Automation and Intruder Alert System Using Machine Vision and IoT

Abstract

An energy efficient automation and intruder alert system using machine vision and IOT (Internet of Things) is developed and explored in this paper. Raspberry pi is the heart of this project and it is fueled by OpenCV (Open source computer vision) and IOT. The alert system and automation are activated based on the face recognition. The presence of people is identified using the OpenCV. The system is activated when the user left the house or office such that to turn ON surveillance at a specific time of the day. When the system detects an intruder by face recognition, it captures the image and it will be sent to Google Drop Box with the help od IOT. The human detection and face recognition is carried out by Background Subtraction and Vector Support Machine and thereafter, when the user enters the room automation will be taking place and only the required devices will be turned ON. This will reduce the unnecessary wastage of power.