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Security and access control systems are becoming increasingly important in homes, offices, industries, and
public places. Traditional access systems based on keys, passwords, or ID cards have several limitations such as loss, duplication, and unauthorized access. This paper presents the design and implementation of a Smart Door Access System using Face Recognition technology based on OpenCV, Python, and Arduino UNO. The proposed system captures real-time facial images using a webcam and processes them through Haar Cascade classifiers for face detection and recognition. Authorized users are identified by comparing facial features with the stored database, and the door is automatically unlocked using a servo motor controlled by Arduino UNO. If an unauthorized person is detected, the system activates a buzzer alert and generates an email notification. The system provides a low-cost, efficient, and intelligent solution for automated door access and real-time security monitoring. Experimental results demonstrate reliable face recognition performance under different conditions, making the system suitable for smart security applications.
Keywords:
Face Recognition, OpenCV, Python, Arduino UNO, Haar Cascade, Smart Security System.
Cite Article:
"Smart Door Access System Using Face Recognition", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b354-b358, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605143.pdf
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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