Sankarasubramanian, R S (2022) The Design and Fabrication of Smart Surveillance Robot. In: 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.
Full text not available from this repository.Abstract
Surveillance and monitoring of critical places like international borders, Banks and Industries is currently a difficult endeavor. The security guarding personnel vigilantly monitor the places where suspicious activity can occur, but it is impossible to keep an eye. A robot that automatically detects illegal persons in these areas and reports them to the nearest security control unit is a must-have in this case. Many departments, such as the military, now use robots to perform dangerous tasks that soldiers are unable to perform. In this project, Raspbian spy software based on the Internet of Things (IoT) built-in remote-control system, will provide security and eliminate manual errors. Sensors, Web camera and Raspberry-Pi 4 Model B forms the system of spy robots. Information about the biological PIR sensor identification is transmitted to users via a server, and the web camera captures the object in motion, that is simultaneously inserted into a web page. The user in the control room can use the control buttons to drive the wheels on a web page to control the robot. Object detection sensors manage the robot's motion to avoid collisions. This spy robot monitoring system may be customized for a wide range of businesses, including banks and retail malls.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | International border; Machine-learning; Open CV; Raspberry pi; Security controls; Smart surveillance; Surveillance; Surveillance robots; Web camera; Web-page |
Subjects: | A Artificial Intelligence and Data Science > Machine Learning A Artificial Intelligence and Data Science > Data Science and Analytics C Computer Science and Engineering > Network Security |
Divisions: | Mathematics |
Depositing User: | Users 5 not found. |
Date Deposited: | 17 May 2024 09:45 |
Last Modified: | 17 May 2024 09:45 |
URI: | https://ir.psgitech.ac.in/id/eprint/622 |