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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 22135
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| Paper Title: | IoT Based Automatic Door Unlocking System Using ESP32 Cam |
| Authors Name: | Annam Meghana , Vejju Tejaswini , Lanke Nayan Venkata Udaya Sankar , Reddy Sai manikanta , Shaik Bajivali |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_189249
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| Published Paper Id: | IJRTI2403006 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | https://doi.org/10.5281/zenodo.10851872 |
| Abstract: | The lightning-fast pace of technological innovation in today's society has raised important concerns with respect to the protection of personal information and privacy. Because of the rapid advancement of technology and the progression of industrialization, it is now absolutely necessary for every single person to protect their privacy and security. When it comes to recognizing authorized persons and reducing instances of fraudulent activities, robberies, and other types of social crimes, authentication is an extremely important consideration. Traditional methods of locking doors often include flaws that may be exploited by someone who are not authorized to access the building. In spite of the fact that there are alternatives available, such as video streaming and smart doorbells, these solutions have several drawbacks, including high prices, complexity, and security flaws. A Smart Door Unlock System that makes use of facial recognition technology is what we suggest as a solution to handle these issues and to increase the level of security. One of the components of our proposed system is an esp32-cam camera sensor, which allows for the capture and storage of photographs of persons. The device uses artificial intelligence to identify a person's face while they are standing in front of the door. After the picture has been acquired, it is compared with permitted faces that are recorded on the SD card that is included inside the esp32-cam. The door is unlocked by a solenoid lock if the person who is attempting to enter is permitted. In the event that the individual is not permitted to enter, the door will continue to be locked. Not only does this cutting-edge device not only take the role of conventional mechanical locks, but it also offers an increased level of safety. In addition to this, it provides a convenient solution for persons who may misplace their keys and makes it simpler for people with disabilities to get entry. |
| Keywords: | Authentication, esp32-cam, solenoid lock, security, facial recognition, artificial intelligence (AI) |
| Cite Article: | "IoT Based Automatic Door Unlocking System Using ESP32 Cam", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.9, Issue 3, page no.40 - 47, March-2024, Available :http://www.ijrti.org/papers/IJRTI2403006.pdf |
| Downloads: | 000205432 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2403006
Registration ID:189249
Published In: Volume 9 Issue 3, March-2024
DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.10851872
Page No: 40 - 47 Country: Vuyyuru, Krishna district, ANDHRA PRADESH, INDIA Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2403006 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2403006 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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