Integrated face recognition system: integration of python, opencv, face_recognition and sql databases
DOI:
https://doi.org/10.52754/16948645_2025_2(7)_88Keywords:
Keywords: face recognition, Python, OpenCV, face_recognition, PCA, SQLite, database, computer vision, deep learning.Abstract
Face recognition is one of the most important areas of computer vision, finding applications in security, medicine, marketing and other fields. This article presents a comprehensive approach to creating a face recognition system using Python programming language, OpenCV and face_recognition libraries, as well as integration with SQLite relational database. The theoretical foundations of Principal Component Analysis (PCA) and modern deep learning approaches are considered. The development stages are described in detail: database architecture design, implementation of recognition on static images and real-time video stream, performance optimization, data security. Practical applications of the system are presented: access control and time attendance. Testing results showed high recognition accuracy even under non-ideal lighting conditions.
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