Real Time Security System using Yolo Technology
Raghupathy R1, Akash M2, Dineshkumar C3, Hariharan N4, Jayasurya R5
1Raghupathy R, Assistant Professor, Department of Electronics and Communication Engineering, V.S.B. Engineering College, Karur, (Tamil Nadu), India.
2Akash M, Department of Electronics and Communication Engineering, V.S.B. Engineering College, Karur, (Tamil Nadu), India.
3Dineshkumar C, Department of Electronics and Communication Engineering, V.S.B. Engineering College, Karur, (Tamil Nadu), India.
4Hariharan N, Department of Electronics and Communication Engineering, V.S.B. Engineering College, Karur, (Tamil Nadu), India.
5Jayasurya R, Department of Electronics and Communication Engineering, V.S.B. Engineering College, Karur, (Tamil Nadu), India.
Manuscript received on 06 June 2022 | Revised Manuscript received on 11 June 2022 | Manuscript Accepted on 15 July 2022 | Manuscript published on 30 July 2022 | PP: 9-13 | Volume-11 Issue-8, July 2022 | Retrieval Number: 100.1/ijitee.H91220711822 | DOI: 10.35940/ijitee.H9122.0711822
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: For the majority of individuals, safety has now become a top priority. The rise in bank threats is concerning, as banks are frequently targeted by criminals. The rise in bank crimes has become a severe problem. To combat such dangers, it is critical to verify the identity of the person who enters the bank. The primary goal of this project is to create a gadget for bank security using Image processing. Because of this, many individuals who may or may not know us are gaining access to our personal workspace. There are other difficulties, such as the loss of important papers and valuables. Even the most advanced technology, such as a fingerprint sensor lock, may be easily opened. As a result, we will create an AI-based security room and locker system to address this issue. With the aid of our growing project, we were able to use facial recognition to discover and analyze people, as well as monitor them. In the proposed work, we apply LBPH (local binary pattern) and machine learning approaches to tackle the present system problem of reducing the recognize time of many items in less time with the best time complexity.
Keywords: AI-Based Security, Local Binary Pattern, Image Processing, Facial Recognition
Scope of the Article: Artificial Intelligence