1 Application of Facial Recognition and Object Identification in Security Surveillance Owais Raza 1 , Fatima Jaffar 2 , Karan Kumar 3 SaniaBhatti 4, Mehran Khan 5 , Shakeel Jamali 6 Department of Software Engineering Mehran University of Engineering and Technology, Jamshoro, Pakistan 1 owais.leghari@hotmail.com, 2 jafferf74@gmail.com, 3 karan.kumar1996@yahoo.com 4 sania.bhatti@faculty.muet.edu.pk, 5 mehransindhee@gmail.com 6 sa41989@gmail.com. ABSTRACT In this modern era, facial recognition, object detection and identification techniques from images have gained noteworthy engrossment. The devices used for image acquisition can be CCTV cameras, computer built-in cameras, and these captured images can be used as input for image processing technique. We are proposing an innovative security system that uses facial recognition, object detection, and identification to perceive any potential threat to a person or property. Our system provides improved security and reduces overload on human operators during surveillance. For object detection, we have used an open source neural networks library that can detect and identify objects like a gun and for the facial recognition, we are using an open source python library to check whether that object (gun) is possessed by some authorized person or not. From the experimental results, it is evident that approximately 70% accuracy is achievable in case of object identification and 98.6%accuracy is obtained in facial recognition. Our system is a primitive step towards automating the process of surveillance. Keywords: Face recognition, Object detection, Surveillance, Neural network, Python. 1. INTRODUCTION: Image Processing is a technique to enhance raw images received from cameras/sensors placed on satellites, space probes and aircraft or pictures taken in normal day-to-day life for various applications [13]. Various image processing techniques have been developed. Most of the image processing techniques are used for enhancing, extracting the features from the image captured through CCTV cameras and other image acquisition devices. Currently, human operators are working as security supervisors that cause human errors, fatigue, and