CAFETERIA MANAGEMENT SYSTEM USING FACE RECOGNITION FOR WOLKITE UNIVERSITY

Abstract

Cafeteria Management System using Face Recognition is a Machine Learning system application and it provides to handles the activity of giving food service to Students using face recognition by generating a dataset of Student’s face images, training it, detecting and recognizing the Students’ faces to identify and control the Student to eat the food at the Cafeteria entry. The current mechanism for handling the activity of the Cafeteria Management System of the Wolkite University uses manual books for fresh students and uses digital IIDs for senior students at cafeteria entry is prevent a student who lost or forget his/her ID, the student can get food service by another ID and can hold double ID, and the cost to prepare the student’s ID.The main objective of this project is to develop Cafeteria Management System using Face Recognition for Wolkite University. Different Methodology is used to solve the problem throughout the development of the project. Interview, direct observation for requirement gathering, Object-Oriented system analysis, and design and iterative model for development approach. Cafeteria Management System using Face Recognition is to solve problems in the existing system with the use of the basic idea of image processing. The system first stores the face in the dataset, and then the faces are detected in the images. The detected faces are compared with the faces stored in the dataset during face recognition. If the system recognizes faces, the student status at each period (breakfast, lunch, and dinner) is marked immediately by the recognized face.