DESIGN & EVALUATION OF SMART FACE RECOGNITION ATTENDANCE SYSTEM USING ESP32 CAM
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The aim of attendance management is to establish a convenient and high-quality record keeping system. The idea of "intelligent attendance" is rooted in progress across domains like artificial intelligence and computer vision. In this regard, face recognition technology plays a vital role, acting as a link between human identity and automated system responses. Face recognition users have the ability to mark their attendance regardless of their physical condition. The specific recognition methods may differ from the traditional options. One of the areas where artificial intelligence (AI) is commonly applied is computer vision and image processing. Our project aims to provide users with a contactless attendance system that goes beyond simply marking presence, offering a wide range of functionalities. The user stands before the camera, which captures their face and transmits the appropriate data to the system for verification. The main objective of this project is to create a face-activated system that can operate attendance duties and apps and utilize machine learning algorithms to learn user facial features.
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Bhoite, P., Wable, Y. & Vankalas, A. (2026). Design & Evaluation of Smart Face Recognition Attendance System Using ESP32 CAM. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.158
Bhoite, Pratik, et al.. "Design & Evaluation of Smart Face Recognition Attendance System Using ESP32 CAM." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.158.
Bhoite, Pratik,Yogesh Wable, and Amar Vankalas. "Design & Evaluation of Smart Face Recognition Attendance System Using ESP32 CAM." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.158.
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