Realtime video survillence and analytics

Abstract

Providing smart and intelligent security solutions for home as well as large business is a challenging task, in recent this is a currently a booming topic in the IT industry or in almost every area, where today’s challenges are different the end user needs to have a intelligent solution as well as a cheap price to pay. We therefore represent a software system which uses traditional hardware but has new modern features like object recognition, Intrusion detection, video analytics, Real-time video feed over smart phone. It aims at alerting the user as quick as possible so that the user can stop any unwanted activity going on in the video frame or alert the police.it is believed that using a traditional video surveillance systems a lot of unwanted video data is stored and this causes a lot of memory wastage, and even there is no possible way of use of artificial intelligence and video analytics capability. This decreases the citizen security as well as the capability of the system is not fully used. We have a feature of real-time broad casting the live suspicious video feed to the authenticated user by use of mobile devices such as PDA, Smart phone, Tablets so the user can access the video feed anywhere, any time on any device. The user can also turn on and off the notification and some features or even increase the resolution, zoom in and zoom out. The system uses mechanisms such as deep learning, artificial intelligence, and video analytics to perform the above tasks.