Autonomous Intelligence-based Security & Surveillance System (AISS) / (Record no. 603366)

000 -LEADER
fixed length control field 01489nam a22001817a 4500
003 - CONTROL NUMBER IDENTIFIER
control field NUST
040 ## - CATALOGING SOURCE
Original cataloging agency 0
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.382,AHM
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ahmad, Faizan
245 ## - TITLE STATEMENT
Title Autonomous Intelligence-based Security & Surveillance System (AISS) /
Statement of responsibility, etc. Faizan Ahmad Muhammad Hammad Umar Nawaz M. Momin Abbas. (TCC-31 / BETE-56)
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture MCS, NUST
Name of producer, publisher, distributor, manufacturer Rawalpindi
Date of production, publication, distribution, manufacture, or copyright notice 2023
300 ## - PHYSICAL DESCRIPTION
Extent 40 p
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Creating a vigilant and reliable surveillance system is foremost necessary for ensuring our safety for ourselves at our residences and workplace. As we are observing the significant and consequential developments in the fields of computer vision and machine learning, it is fair and wise to employ emerging technologies in our surveillance and security systems. Such techniques will enhance the system’s efficiency significantly. Therefore, we are proposing an Autonomous Intelligence-based Security and Surveillance System (AISS) that can autonomously detect perimeter intrusion over the boundary walls of an institution. The proposed solution, AISS, will autonomously and promptly raise the alarm and notify the security staff upon detecting a breach over the boundary. The primary objective of our project is to eliminate the likelihood of human error, which can occur due to fatigue, stress, and various other reasons.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element UG EE Project
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element TCC-31 / BETE-56
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Supervisor Dr. Imran Makhdoom
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Thesis
Holdings
Withdrawn status Permanent Location Current Location Shelving location Date acquired Full call number Barcode Koha item type
  Military College of Signals (MCS) Military College of Signals (MCS) Thesis 10/07/2023 621.382,AHM MCSPTC-450 Project Report
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