International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 08 | Aug 2020 www.irjet.net p-ISSN: 2395-0072 National Conference on Recent Advancements in Communication, Electronics and Signal Processing-RACES’20 Organised by: Department of ECE, Velammal Engineering College, Chennai-66 © 2020, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 190 NIGHT VISION PATROLLING ROBOT WITH SOUND SENSOR USING COMPUTER VISION TECHNOLOGY N.Hemavathy 1 , Arun.K 2 , Karthick.R 2 , Srikanth.A.P 2 , Venkatesh.S 2 1 Assistant Professor, ECE, Velammal Engineering College, Chennai. 2 Student members, ECE, Velammal Engineering College, Chennai. ---------------------------------------------------------------------***---------------------------------------------------------------------- ABSTRACT: In this project, we propose a security patrolling robot that uses night vision camera for securing any premises. The robotic vehicle moves at particular intervals and is equipped with night vision camera and sound sensors. It uses a predefined line to follow its path while patrolling. It stops at particular points and moves to next points if sound are detected. The system uses IR based path following system for patrolling assigned area. It monitors each area to detect any intrusion using 360degree rotating HD camera. It has the ability to monitor sound in the premises. Any sound after company is closed and it starts moving towards the sound on its predefined path. It then scans the area using its camera to detect any human faces detected. It captures and starts transmitting the images of the situation immediately on sound or human face detection. Here we use IOT Local Area Network (LAN) for receiving transmitted images and displaying them to user with alert sounds. Thus we put forward a fully autonomous security robot that operates tirelessly and patrols large areas on its own to secure the facility. Keywords: Night vision, patrol robot, sound sensor, IOT, security, machine learning, line follower, image processing. 1. INTRODUCTION A significant proportion of Indian firms might have faced data theft issues recently. Around 41 per cent of these companies saw such instances, compared to the global average of 29 per cent, showed a survey by a risk management and consultancy firm, released on Monday. India’s number is higher than other countries such as the United States (26 per cent), the United Kingdom (32 per cent) and Japan (27 per cent). Autonomous security robots are a new groundbreaking innovation in advanced security and surveillance technology. Guards patrolling an area with flashlights and batons never worked very well; however, today there is an immergence of smart security systems with intelligent sensors, embedded systems, autonomous control mechanism and mobile application. The first security surveillance robot was proposed by Everett, H. & Gage, D.W, 1999 in “Mobile Detection, Assessment and Response System (MDARS)”. Since then security robots have become a growing interest with increasing developments in research and application. The idea behind this is to secure the whole area of a building or premises. Any small sound results in the alert and robot automatically goes to the particular area and captures the image of that area and sends it to the user. Raspberry Pi connected with the camera plays an important role in making an automatic robotic system. During the occurrence of an abnormal event like theft, the patrol robot detects the sound and captures the image of the intruder. The image of the intruder is sent to the security department via Email and Short Messaging Service (SMS). An automatic patrolling vehicle acts as a security patroller in the security system, which can monitor those dead zones of the traditional fixed surveillance system. Countless applications today are mobile service security robots, including autonomous navigation, security patrolling, housework, search-and-rescue operations, material handling, manufacturing, and automated transportation systems. Autonomous navigation remains one of the primary challenges in the mobile-robot industry; many control algorithms and techniques have been recently developed that aim to overcome this challenge. We use line follower with IR Sensors to perform night patrol navigation. The security patrol robot will utilize several sensors and motors in order to navigate indoors. It will also be able to communicate and be controlled via Wi-Fi. 2. EXISTING SYSTEM In the existing system, robot has to be controlled remotely where the person has to monitor the area using remote control and more human resource is needed for this operation of the patrol robot. Some systems require a smart phone for controlling the night vision robot. Some use local host webpage hence the control range is limited to local network range. Lacking of few parts, autonomous operation requires work force to operate 3. PROPOSED METHODLOGY In this proposed system, Raspberry pi is installed with the night vision camera which help the system to go for the automation and help to find the human or any problem detected using the sound sensor and according to the sound produced it automatically goes to that area