Indonesian Journal of Data and Science
Vol. 4 No. 1 (2023): Indonesian Journal of Data and Science

Detecting Harmful Activity in Hajj Plagiarism Using Deep Learning

Musa (Gumushane University)



Article Info

Publish Date
31 Mar 2023

Abstract

CCTV surveillance is the most extensively used intelligent latest innovation. The use of surveillance cameras has risen dramatically because of the convenience of monitoring from anywhere and the reduction of crime rates in public areas. In this paper, we introduce the idea of bad vibe activity detection from live videos to enhance the security and safety of pilgrims. The proposed bad vibes activity recognition model is intended to be addressed in the most efficient manner possible using cutting-edge technologies such as TensorFlow and Keras. TensorFlow was chosen because the project could be deployed to a mobile environment in the future with the possibility of extension of other areas such as airport security, bus stain, and public areas that may deserve special attention for security checks. We choose MediaPipe Holistic for employee bad vibe recognition in the model.

Copyrights © 2023






Journal Info

Abbrev

ijodas

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

Description

IJODAS provides online media to publish scientific articles from research in the field of Data Science, Data Mining, Data Communication, Data Security and Data ...