Taking attendance in class of Students is Crucial and very important task. Traditional way attendance taking is manual. And if it follows it tends to waste a important time of decided task. For this few automatic methods are existing. Existing methodology also tends to  waste of  time, if we taking biometric attendance on account then it also have some  pitfalls because program fellow  have to make a queue to give attendance by  touching their thumb on the electronic  biometric scanning device.altimately this approach follows same pitfall of traditional way.               In the era of IOT solution to above problem should be take advantages of newly innovated IOT approach. Proposed methodology which is also based on IOT and it gives an efficient way  that automatically takes   the attendance of program fellows  without any human interaction. In This methodology attendance is recorded by using a smart device that is nothing but  camera which  is fixed in  front of class venue that is continuously capturing real time data that is images of program fellow, it detect the faces and, compare it with the image database and  mark the attendance. We propose  real time face detection approach with an existing Learning Management System (LMS),it automatically detects and registers program fellow attending on a lecture. The system represents a additional tool for instructors, with approach used in machine learning with adaptive methods used to track facial changes during a longer period of time. This proposed system have goal that time reduction for attendance and which is ultimately less than traditional methodology.