Browsing by Author "Muhammad Hamza Naeem"

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    Institutional Production of Drug Addicts-An Analysis of Prison System
    (UMT.lahore, 2020) Muhammad Hamza Naeem
    The core purpose of this study was to identify the institutional production of drug addicts in which the prison is itself an institution. The main objective of the research was to present a critical analysis of the National Anti-Narcotic Policy of Pakistan and its relation with the prison system. To recognize several ways in which implementation of drug prevention leads to a wide circle of violation of human rights in Pakistan and to set different strategies and solutions with the help of human rights through Drug Control System. This study is free from any kind of participant involvement and in-depth interviews because of the Deadly COVID-19 restrictions. For analysis, secondary way analysis was used. Data was analyzed by using a relevant drug policy of Pakistan known as the Policy Analysis. Drug Policy and human rights gave a clear and lucid way to analyze the prison system and the incarcerated drug addicts – their specific treatment and rehabilitation. Data analysis was done with the help of Policy Analysis.
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    Weapon detection camera
    (UMT, Lhr, 2023) Muhammad Hamza Naeem; Abdul Rehman; Abdul Rauf; Waleed Abdul Razzaq
    A Weapon Detection Camera is a surveillance system that uses advanced image processing techniques and machine learning algorithms to detect and identify weapons in real-time. The system works by capturing images of a given area and analyzing them in real-time to detect weapons such as firearms objects. The system is designed to work in various environments such as public spaces, schools, airports, and other high-security facilities. The weapon detection camera uses a combination of computer vision algorithms and machine learning models to analyze the images or videos and identify weapons with high accuracy. The system is trained on a large dataset of images of weapons, which allows it to accurately identify weapons even in complex environments. The weapon detection camera is designed to be highly efficient and accurate, with a low false positive rate. It also features real-time alert notifications and automatic recording of incidents for later review. The system can be integrated with other security systems, such as access control systems, to provide a comprehensive security solution. In conclusion, the weapon detection camera is a critical tool in ensuring the safety of public spaces and high-security facilities. Its ability to accurately detect weapons in real-time helps prevent violent incidents and ensures a safer environment for everyone. This project presents the design and implementation of a weapon detection system using an ESP32 camera. The system utilizes computer vision techniques to analyze video frames captured by the camera in real-time and detect the presence of weapons. The ESP32 camera was chosen due to its low cost and ability to perform image processing on-device, reducing the need for cloud-based processing. The system was tested using a dataset of images containing weapons and non-weapons, achieving an accuracy of 90% above. The results demonstrate the feasibility of using an ESP32 camera for weapon detection in security applications. The system has the potential to be used in various settings, including schools, public events, and government buildings. Page 13 of 52 Weapon Detection Camera