Browsing by Author "Tanveer Ahmed"

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    Criminal detection system
    (UMT.Lahore, 2025) Abdullah Saleem; Tanveer Ahmed; Haroon Javaid; Abdul Hannan; Danish Kaleem
    Peace and security are priority for people, private sector and public sector. Existing security systems, for example, CCTV camera systems, suffer from the disadvantage of being manned, and thus, are not capable to perform any operations without a man and are also very susceptible for the human errors. The development of IoT and artificial intelligence there is a raising demand of automatic real time crime dete ction system. Criminal Detection w/ IoT device This Project“Criminal Detection via IoT Devices” is about a Smart Security system which is Connected on Internet of Things (IoT) that incorporates a machine learning model to detect any Suspicious activity. The system consists of smart cameras, connected to a centralized processing unit. The core functionalities include object detection, facial recognition, real-time monitoring, and instant alerts via SMS and mobile notifications. The system will utilize Raspberry Pi and camera modules for data acquisition, Firebase for cloud storage, and machine learning algorithms (Face Recognition Library, OpenCv) for image and activity analysis. The user interface will include a web-based admin panel (built with HTML, CSS, and JavaScript) and a mobile application (developed using Flutter) to provide seamless access to real-time security alerts and analytics. This project aims to provide an automated security solution for residential, commercial, and government sectors, reducing manual effort and improving crime response time. By integrating IoT technology with AI-driven analysis, the system will help law enforcement agencies enhance surveillance, identify criminals, and take immediate action