Application of Neural Networks for Detection of Sexual Harassment in Workspace

Shahria, Md. Tanzil; Progga, Farhat Tasnim; Ahmed, Saif; Arisha, Asma

doi:10.1109/icaect49130.2021.9392429

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…Despite the diverse Application of Computer Vision and Mobile Systems in Education: A Systematic Review applications and aspects of CV, it has diverse applications in education, including anomaly detection, attendance monitoring, educational robots, facial recognition, medical training, online proctoring, perception monitoring, and plagiarism checking. Anomaly detection, particularly in workplace sexual abuse studies, has shown significant progress using video sequence intrusion detection [3]. Identifying anomalies, such as violence, from surveillance camera streaming video is a common use of CV [4].…”

Section: Introductionmentioning

confidence: 99%

Application of Computer Vision and Mobile Systems in Education: A Systematic Review

Rubaiya Tasnim Sholi,

Sarker,

Md. Salman Sohel

et al. 2024

Int. J. Interact. Mob. Technol.

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The computer vision industry has experienced a significant surge in growth, resulting in numerous promising breakthroughs in computer intelligence. The present review paper outlines the advantages and potential future implications of utilizing this technology in education. A total of 84 research publications have been thoroughly scrutinized and analyzed. The study revealed that computer vision technology integrated with a mobile application is exceptionally useful in monitoring students’ perceptions and mitigating academic dishonesty. Additionally, it facilitates the digitization of handwritten scripts for plagiarism detection and automates attendance tracking to optimize valuable classroom time. Furthermore, several potential applications of computer vision technology for educational institutions have been proposed to enhance students’ learning processes in various faculties, such as engineering, medical science, and others. Moreover, the technology can also aid in creating a safer campus environment by automatically detecting abnormal activities such as ragging, bullying, and harassment.

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Section: Introductionmentioning

confidence: 99%