AI Surveillance Home Security Robot

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dc.contributor.authorRohail Mansab
dc.date.accessioned2025-09-23T12:19:16Z
dc.date.available2025-09-23T12:19:16Z
dc.date.issued2024
dc.description.abstractThe ‘Surveillance Home Security Bot’ project was envisioned to build an improved home security system that is self-operating and intelligent to boost home security by utilizing superior objects’ detection and avoidance. The system has a four-wheel robot with ultrasonic sensors placed at the lateral sides for aiding in the wall-following and obstacle detection. This of hardware arrangement means that the robot is able to move around within a home environment in a manner that is efficient. For the software component of the project, real time object detection is performed using the YOLOv8 model, elements that can be detected include persons, fires and doors. The model is installed on a Raspberry Pi, for its compact form factor and adequate performance to run the YOLOv8 model. Thus, standing for the importance of home security needs and integrating solid hardware with complex software into this project. The application presents a vast enhancement in the supervision and risk identification in a domestic environment at real-time. Some preliminary experiments that were conducted prove that this method is rather accurate and reliable, which makes it possible to consider it suitable for application in practice. Lastly, the project offers a discussion on the findings of a system, the improvement and further development of the final product.
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/6776
dc.language.isoen
dc.publisherUMT, Lahore
dc.titleAI Surveillance Home Security Robot
dc.typeThesis
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