Journal of Cognitive Human-Computer Interaction JCHCI 2771-1463 2771-1471 10.54216/JCHCI https://www.americaspg.com/journals/show/3996 2021 2021 Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India S. S. Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India J. Beryl Sharon Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India M. .. Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India M. Indu Face recognition technology is increasingly integrated into daily life, from unlocking smartphones to taking attendance in classrooms, despite challenges like lighting, occlusion, and posture variety in real-world scenarios. Therefore, this study aims to develop an Automated Face Recognition System for Data Retrieval and Management using OpenCV. Using a camera, the system records users' photos in real time. Computer vision techniques are then applied, particularly the face identification and recognition functions of the Local Binary Pattern Histogram (LBPH) and the Haar Cascade algorithm, which are implemented using OpenCV. The system correctly recognizes people and makes it easier to handle student information by comparing the faces it detects with a database of photographs of students that has been stored. Improved face recognition accuracy, real-time data retrieval, and efficient data management procedures are the main goals. Although the system performed satisfactorily in normal lighting, difficulties with low light were shown to affect the accuracy of detection and recognition. The primary causes of these constraints were changes in the quality of the camera and lighting. Subsequent developments will concentrate on optimizing the accuracy and overall performance of the system, maybe by incorporating better cameras and more sophisticated processing. The study highlights how computer vision and facial recognition technology can revolutionize data management procedures in a variety of applications. In conclusion, the suggested system effectively makes use of cutting-edge methods for dependable and effective data retrieval. 2025 2025 33 38 10.54216/JCHCI.100104 https://www.americaspg.com/articleinfo/25/show/3996