Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/2494
Title: Advanced Autonomous Surveillance Robot for Enhanced Monitoring and Individual Identification
Authors: Islam, Moeen Ul
Purkaystha, Debanjon Dutta
Gupta, Antu Das
Saha, Sopan
Banik, Durjoy
Bhuyan, Muhibul Haque
Keywords: Surveillance Robot
OpenCV Library
Identification
Monitoring Environment
Autonomous Robot
Microcontroller
Issue Date: 9-Sep-2024
Publisher: Ninety-Nine Publication, India
Citation: M. U. Islam, D. D. Purkaystha, A. D. Gupta, S. Saha, D. Banik, and M. H. Bhuyan, “Advanced Autonomous Surveillance Robot for Enhanced Monitoring and Individual Identification,” Turkish Journal of Computer and Mathematics Education (TURCOMAT), ISSN: 3048-4855, Ninety-Nine Publication, India, vol. 15, no. 3, pp. 25-34, 9 September 2024. DOI: https://doi.org/10.61841/turcomat.v15i3.14722.
Series/Report no.: ;2
Abstract: The primary objective is to detect and identify suspicious activities and potential threats in a precise manner while prioritizing human safety leveraging surveillance technology and machine learning. The implementation of this system involves coding in Python using the OpenCV library. It utilizes Wi-Fi connectivity as a means of communication. The robot is equipped with a Raspberry Pi along with a USB web camera, which captures video footage and employs object detection algorithms to identify unknown individuals. When a person or an object is detected, the system sends an email to the dedicated email addresses including an image of the unrecognized individual. The proposed system is designed as a unified unit responsible for monitoring the environment for hazardous conditions and delivering real-time video feedback. The proposed system is simulated and tested in real-time to observe its functionality, and it is observed that the system works properly as per given input conditions.
URI: http://dspace.aiub.edu:8080/jspui/handle/123456789/2494
ISSN: 3048-4855
Appears in Collections:Publications From Faculty of Engineering

Files in This Item:
File Description SizeFormat 
Draft_DSpace_Publication_Info_Upload_FE_Prof Muhibul Surveillance Robot.docx3.01 MBMicrosoft Word XMLView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.