In present scenario, the security concerns have grown tremendously. The security of restricted areas such as borders, is of utmost importance, in particular with the worldwide increase of military conflicts, illegal immigrants, and terrorism over the past decade. Monitoring such areas rely currently on technology and manpower, however automatic monitoring has been advancing in order to avoid potential human errors that can be caused by different reasons. The purpose of this work is to design a surveillance system which would detect motion in a live video feed and record the video feed only now where the motion was detected, also to track moving objects based on background subtraction using video surveillance. The moving object is identified using the image subtraction method through machine learning based Algorithms (i.e., like keras and OpenCV). This work is based on AIOT (Artificial Intelligence of Things which is a combination of Artificial Intelligence and Internet of Things). In addition, face detection and Intruder Alert through notification is proposed in this work.