Food management and surveillance using Viola Jones algorithm and Local Binary Pattern Histogram

Abstract

This paper proposes an efficient system to manage the online food ordering, maintenance of employee attendance and provides auto surveillance. In this system, a camera will be placed at the entrance of the company. Whenever a person enters into the company, their faces are detected by the camera and features are extracted. Then those features are compared with the extracted features of the trained database. Two databases one employee database and other VIP database is maintained. When the features of a face get matched, the system will check whether the features are from the employee database or Very Important Person (VIP) database. When the match is from the employees list, the employee will be marked present. Then a unique code and the food ordering link will be sent to their mobile number. The ordered food will be delivered to the employee at the food court at the respective time slots. Suppose when the match is from the VIP list, an alert message will be sent to the reception desk along with the VIP ID. On the other hand, when the person photo is not matched, it will be saved in the unknown person list. When an employee leaves the company before the food is delivered, the food cancellation link will be sent to their respective mobile number to cancel the food order.