Online Exam Automation System Based on Deep L...

Online Exam Automation System Based on Deep Learning Techniques through Facial Recognition

Author Name : Mrs. G. Indiravathi, M. Venkata Murali, M. Venkatesu, C. Tejashwi, D. Samjeesh

ABSTRACT

One of the most considerable challenges to on line getting to know nowadays is identification verification and proctoring of on line college students. Specifically for on line certification and accreditation, education agency have to make certain that the online students who finished the getting to know method and obtained instructional credit are the identical folks that registered for the courses. In addition, we have to make certain that those students complete all the on line education activities with out dishonest or inappropriate behaviour. The COVID-19 pandemic has hastened (in a few cases, hastened) the migration and implementation of on line training strategies, necessitating the want for secure mechanisms to authenticate and proctor on line students. Currently there are numerous technology with extraordinary stages of automation. This file information precise answers primarily based totally on authentication and automatic tracking structures for diverse biometric technology system (system workflows and AI algorithms) which includes capabilities to resolve key market troubles surprisingly scalable, automatic, affordable, with few person hardware and software program requirements, highlyreliable, applicable for college students. Finally, technical overall performance assessments of large-scale structures, describes a user privateness perception survey and its results. This system gives identification authentication carrier of on line learns through a constant face recognition technology.

KEYWORDS: Privateness, Students, Exams , Face Recognition, Online, Survey