Crime detection camera / Adnan Aji , Duha Aljubbeh , Laila Tarabih , Marwan Osta Halabi and Nour Alhuda Zeiter ; Supervised by Raouf Hamdan and Massa Albaali عدنان عامر عاجي ، ضحى الجبة ، ليلى طرابية ، مروان الاسطة حلبي و نور الهدى محمد رضا زعيتر ؛ إشراف رؤوف حمدان و ماسة البعلي
Publication year: 2023
ISBN: CCE00083
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This paper presents a comprehensive crime detection system that uses a combination of hardware and software to monitor homes and communities in real time. The system consists of a Raspberry Pi 4B, a Raspberry Pi Camera V2, a flame sensor, an MQ-6 gas sensor, and a microphone, which are all connected to a database management system powered by MySQL. The data collected from these devices is analyzed by machine learning algorithms to detect crimes, such as theft or robbery, as well as fires and gas leaks. The system also includes a mobile app, ‘Safe Home’ which provides live video monitoring and real-time notifications to users, and an employee dashboard to monitor all statistics and manage all implemented systems.
Subject: Computer sceince, Crime prevention, Home, Circuit, Raspberry Pi, Application, Machine learning, Camera, Microphone, Flutter, Audio, Image, Security
