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@article{194363,
        author = {Pratiksha N. Pawar and Nutan K. Raundal and Manvi N. Dhondge and Tanushkha S. Suryawanshi and Prof. M. P. Bhandakkar},
        title = {SMART VISION SYSTEM FOR PERSON TRACKING AND WEAPON RECOGNITION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {4235-4242},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194363},
        abstract = {Public safety and security in crowded environments such as railway stations, malls, public events, and transportation hubs have become a major concern in modern society. Traditional surveillance systems rely heavily on manual monitoring, which can be inefficient and prone to human error. To address these challenges, this study proposes a Real-Time Crowd Surveillance System for Detecting Weapons and Locating Missing Individuals using advanced image processing and facial recognition techniques. The system aims to enhance public safety by automatically monitoring crowded areas and identifying potential threats or missing persons in real time. The proposed system utilizes computer vision and machine learning techniques to analyze live video streams captured through cameras. Image processing algorithms implemented in Python detect faces and identify individuals by comparing them with a stored database. The system is capable of recognizing multiple faces simultaneously and distinguishing between known and unknown individuals. In addition to facial recognition, the system can also detect potential weapons in the surveillance footage, enabling early identification of dangerous situations. A web-based application is integrated into the system to manage surveillance data and facilitate communication between authorities. The application consists of modules such as Admin and Police Station, where authorized personnel can log in, add criminal records, upload photos, and view surveillance logs containing details such as date, time, and location. When a suspected criminal or missing individual is detected, the system can generate alerts and notifications to assist law enforcement agencies in taking immediate action. The proposed system enhances the efficiency of traditional surveillance by combining real-time monitoring, automated threat detection, and centralized data management. By leveraging technologies such as computer vision, web development, and database management, the system provides a scalable and effective solution for improving public security and assisting authorities in identifying criminals or locating missing persons quickly and accurately.},
        keywords = {Real-Time Surveillance, Crowd Monitoring, Weapon Detection, Face Recognition, Image Processing, Missing Person Identification, Computer Vision, Public Safety System.},
        month = {March},
        }