To give programmed understudy attendance framework and understudy attendance framework by actualizing a superior face discovery and acknowledgment framework. The framework takes pictures of understudies and distinguishes, examines and perceive faces utilizing picture preparing calculations. Haar course classifier and LBPH calculations are utilized for facial acknowledgment. In the wake of gathering picture handling information, the framework will create a record of definite attendance and

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... er it to the cloud. In a particular time (ex: 14 minutes after class has begun) framework will send the email warnings to the understudies in the event that they are missing. After conclusive report is transferred tally of the understudies' present will be spared. On the off chance that check is diminished during address hours, at that point email will be sent to the regarded staff about the bunking of the understudy. OpenCV library will be utilized for actualizing Haar course classifier and LBPH, Python and python library Numpy will be utilized for investigating information [10]. Area Convolutional Neural Network (R-CNN) is utilized for flawlessly checking the quantity of understudies present inside the study hall and recognizing on the off chance that somebody bunks the class.