dc.contributor.author |
Supervisor Dr. Arslan Shaukat, Safiullah Humayun Muhammad Wahid Masood Hanan Khalid |
|
dc.date.accessioned |
2024-05-10T10:45:39Z |
|
dc.date.available |
2024-05-10T10:45:39Z |
|
dc.date.issued |
2023 |
|
dc.identifier.other |
DE-COMP-41 |
|
dc.identifier.uri |
http://10.250.8.41:8080/xmlui/handle/123456789/43285 |
|
dc.description |
Supervisor Dr. Arslan Shaukat |
en_US |
dc.description.abstract |
In the underdeveloped and developing countries including Pakistan, there are security issues due to high crime rate. This project is the implementation of the security
systems at a large scale which includes houses, hospitals, research centers and banks
etc. The main aim for this project is to detect the unauthorized person in a specific
area and to send the alert signal to the security team or the owners through a mobile
application. This AI system will be able to detect the person, recognize him and if
not recognized then send the alert signal to the owners/security team. For these,
our project is divided into 2 parts, the whole model for person recognition and the
application for the monitoring of the system. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
College of Electrical and Mechanical Engineering (CEME), NUST |
en_US |
dc.title |
AI Based Security System |
en_US |
dc.type |
Project Report |
en_US |