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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Improved Intruder Detection System for Restricted Areas Using Internet of Things |
| Authors Name: | Dr.C.Kalyana Chakravarthy , Dr.M.Chandrasekhar |
| Unique Id: | IJSDR2312133 |
| Published In: | Volume 8 Issue 12, December-2023 |
| Abstract: | Security is one of the major issues in the world. Many locations, like research centers, Government agencies, Prisons, ATMs etc. required restricted access. These sensitive locations must be well secured so that when any known intruder enters the location, authorities must be notified. Sometimes human surveillance will not be sufficient to secure these locations. Hence there need an automated system to fulfill the job of controlling the intrusion. The automated system must be able to detect the intrusion and notify the authorities immediately such that any preventive actions can be taken. The system must be able to identify the persons entering the area and check for any discrepancies. Biometric-based techniques have emerged as the most promising option for recognizing individuals in recent years. Face recognition appears to offer several advantages over other biometric methods, as some these require some voluntary action by the user, i.e., the user needs to place his hand on a hand-rest for fingerprinting or hand geometry detection and has to stand in a fixed position in front of a camera for iris or retina identification. Our system can be used in these sensitive locations where human surveillance is not sufficient. The system uses facial recognition to identify the persons. The system is equipped with a camera, proximity sensor and alarm (LED for representation). The camera is placed such that the person's face who wish to enter the area can be captured. The captured person is then identified to be intruder or not and thus following actions can be taken. The identification of the captured image is done using some Face recognition techniques. The intrusion is notified to the respective authorities over email and also the alarm will be turned on immediately. |
| Keywords: | Intrusion; Automated System;Surveillance; facial recognition |
| Cite Article: | "Improved Intruder Detection System for Restricted Areas Using Internet of Things", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 12, page no.976 - 983, December-2023, Available :http://www.ijsdr.org/papers/IJSDR2312133.pdf |
| Downloads: | 000338720 |
| Publication Details: | Published Paper ID: IJSDR2312133 Registration ID:209738 Published In: Volume 8 Issue 12, December-2023 DOI (Digital Object Identifier): Page No: 976 - 983 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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