International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022
p-ISSN: 2395-0072
www.irjet.net
RAT Trap: Home Surveillance System Using IoT & AI Raj Chauhan1, Aditya Gidh1, Trisha Gupta1, Dr. Sanjay Sharma2 1Graduate
Student, Dept. of Computer Engineering, New Horizon Institute of Technology and Management Mumbai, India 2 Head Of Department, Dept. of Computer Engineering, New Horizon Institute of Technology and Management Mumbai, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - We live in a world where breaking and entering,
Artificial Intelligence plays a prerequisite role in smart homes. Specific applications of AI include expert systems, natural language processing, speech recognition and computer vision. It is the venture to clone or simulate human intelligence in machines. AI algorithm is an extended subset of machine learning that informs the computer how to learn to operate on its own. In turn, the device continues to acquire knowledge to improve processes and run tasks more efficiently. AI allows organizations to make better decisions at identifying the intruder, improving core security by increasing both the speed and accuracy of strategic decisionmaking processes.
burglary and trespassing are increasing day by day. Keeping a check at home while giving security measures to the homeowner and complete control of what is happening in and around the house is very important at this time. Because of the increasing number of threats and disruptions that occur in the community, all residential households need a security plan to live a better life with safety. Home automation is about comfort, efficiency, and savings, improving one's standard of living. Home security has made major changes in the last few decades and will continue to improve gradually in future. Previously home security systems meant having an alarm sounded when someone broke in but a smart secure home does more than that. The proposed system comprises a combination of a unique wedge lock mechanism, a Linear Actuator, Raspberry Pi, Camera Module attached to it. The system will help users to protect their homes with facial recognition by installing it on doors or windows and monitor activities with their smartphones. Using the concept of Internet of Things (IoT), we can develop a Smart Home Security System, which would be efficient enough and take necessary actions accordingly. The proposed system can be the first step towards safer housing facilities.
Facial recognition is one of the advanced forms of authentication capable of identifying and verifying a person using facial features in an image or video from a database. Modern facial recognition algorithms approach the problem of one-shot learning via face recognition by learning a rich low-dimensional feature representation, called face embedding, that can be calculated for faces smoothly and compared for verification and identification tasks.
2. LITERATURE SURVEY Xin Zhang, Won-Jae Yi and Jafar Saniie introduced a home surveillance system that utilizes computer vision techniques to recognize intrusions and detailed threat information including classifying types of trespassers and specific weapons used. Process of identifying intrusions is achieved by our Smart Intruder Detection and Surveillance System (SIDSS) which involves 3-stages of computer vision algorithms.3-stage SIDSS includes an optimized convolutional neural network (CNN) for threat and intrusion detections, cascading classifiers for locating any potential intruders with correcting mechanism to overcome undetected threats from the previous stage, and principal component analysis (PCA) to efficiently train the facial recognizer to accurately differentiate passersby from potential intruders. Our system is scalable for various surveillance events and can be expanded with additional pre-processed datasets added to the SIDSS model to manage greater surveillance areas. Through this enhanced configuration, the system can achieve enhanced accuracy of recognizing broad range of weapons used and intruders. [1]
Key Words: Raspberry Pi, IoT, Facial Recognition, Wedge Lock Mechanism, Linear Actuator, Camera Module
1. INTRODUCTION Smart Homes is the beginning of a new era in the field of home Security. With an integrated alarm system, the user can easily arm and disarm the home to the convenience of their smartphones no matter where the user is. Automating the tasks or jobs without human intervention is needed these days. With the recent invention of the voice assistants and the flexibility, it is providing us to connect any electronics things have become popular these days. The Internet of Things can be used to describe physical objects (or groups of such objects) embedded with sensors, processing ability, and software. A good locking mechanism makes the house more secure for any Intrusion as well as loss. A huge advantage of linear actuator design is that when a perpendicular external force is applied the actuator doesn’t feel any kind of force as the cosine component of that force becomes zero.
© 2022, IRJET
|
Impact Factor value: 7.529
Arshith Suresh, Aina P Subeer, Ann Mary Philip, Jini Shaji Varughese and Er. Justin Mathew proposed a system which
|
ISO 9001:2008 Certified Journal
|
Page 1529