RAASID: A Multipurpose Crowd Sensing Smart System With Sentimental Analysis

Abstract

Disruptive technologies have evolved dramatically rendering our world increasingly connected and introducing many business opportunities. The use of AI in various businesses has increased in unprecedented rate. In this paper, we design and implement RAASID, a video based facial and emotional recognition smart system that aims at automating the attendance taking procedure in institutes by autonomously marking the attendance of individuals in real-time with no direct physical interaction. In addition, RAASID simultaneously detect and analyze individuals' facial expressions in order to identify the current emotional state of the students at regular time points. The proposed solution guarantees the highest level of student's discipline in the classroom while simultaneously monitoring the student's emotional state regularly. Upon experimentation, the accuracy of the system scored 80% in differentiating students and classifying emotions during various tested classes. The proposed system can be applied to large scale classrooms or conference events with further enhancements.