Published Paper Details:

In recent times, as technology progresses, humans have opted for process automation to facilitate their job and lives. A face is an essential element of the human anatomy as it is the unique part of the body which can classify individuals separately. Face recognition systems may be created by exploiting facial features as a biometric identifying component. Regular monitoring of attendance is the most time-consuming duty in any company or organization. The main aim of this journal is to provide a feasible "Smart Attendance Tracker" that is operated on a 'Small form factor' hardware to get optimum efficiency out of the system. An Open CV-based facial recognition approach has been proposed as a workable solution. A Raspberry Pi running the Python script and an external Web camera is used to concurrently monitor attendance and update the following values in a Comma Separated Values (.csv) file. The CSV file acts as a dataset for the Mobile Application to display the attendance of people and other parameters.