Face Recognition Based Attendance System in Schools and Organisations
Abhishek Kumar Singh1, Chirag Pattanaik2, Sanket Darokar3
1Im Abhishek Kumar Singh, College: Department of Computer Science and Engineering, SRM Institute of Science and Technology Chennai, India.
2Chirag Pattanaik, College: Department of Computer Science and Engineering, SRM Institute of Science and Technology Chennai, India.
3Sanket Darokar, College: Department of Computer Science and Engineering SRM Institute of Science and Technology Chennai, India.

Manuscript received on November 10, 2019. | Revised Manuscript received on November 17, 2019. | Manuscript published on 30 November, 2019. | PP: 3970-3974 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8489118419/2019©BEIESP | DOI: 10.35940/ijrte.D8489.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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 transfer 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.
Keywords: Face Recognition, Haar cascade, Image Processing, Open CV.
Scope of the Article: Signal and Image Processing.