Real-Time Crowd Surveillance System for Weapon Detection and Missing Individual Localization

Name of Project: Real-Time Crowd Surveillance System for Weapon Detection and Missing Individual Localization .

Abstract :

The Real-Time Crowd Surveillance System for Weapon Detection and Missing Individual Localization is a web-based surveillance and security system designed to improve monitoring and identification in crowded public areas. The system combines image processing, face recognition, and weapon detection techniques to analyze live video captured through a webcam. It can identify known individuals by comparing detected faces with records stored in the database and can also detect unknown faces and suspicious objects such as weapons. When a possible threat or a matching missing individual is detected, the system can generate an alert for further investigation.

The system provides separate functionalities for administrators and police stations. The administrator can manage police station details and maintain required surveillance records. Police station users can log in securely, add and manage criminal and missing-person information, including photographs and other details, view registered records, and monitor surveillance logs. The system also maintains important information such as the date, time, and location of detected activities and provides email notifications when necessary.

The image-processing module is implemented using Python and supports multiple face recognition and weapon detection operations through a webcam. The web application uses HTML, CSS, and JavaScript for the frontend, Java for backend development, and MySQL for database management. By integrating these technologies, the proposed system provides a centralized platform for crowd monitoring, face identification, weapon detection, missing-person identification, record management, and real-time alert generation. The system can help police authorities organize surveillance information and support faster identification and response in crowded environments.

Keywords: Real-Time Surveillance, Crowd Monitoring, Weapon Detection, Face Recognition, Missing Individual Localization, Image Processing, Python, Webcam, Java, HTML, CSS, JavaScript, MySQL, Police Station, Criminal Records, Surveillance Logs, Email Notification.

Key Features

1. Real-Time Crowd Surveillance
   The system uses a webcam to continuously monitor people present in crowded areas. The captured video is processed in real time to identify faces and suspicious objects. This helps authorities observe crowd activities and detect important events without depending only on manual monitoring.

2. Face Recognition
   The system uses face recognition to identify individuals from the live camera feed. Detected faces can be compared with photographs and records stored in the database. Based on the available records, the system can help identify known individuals and provide their stored information to the authorized police station user.

3. Missing Individual Identification
   Police users can register missing individuals in the system by storing their photograph and related details. When a face is detected through the webcam, it can be compared with the registered missing-person records. If a matching face is found, the corresponding information can be displayed to assist authorities in locating the missing individual.

4. Weapon Detection
   The system analyzes the webcam feed to identify the presence of weapons or suspicious objects. When a weapon is detected, the system can generate an alert containing relevant detection information. This feature is intended to help authorities identify potential security threats in crowded environments and take appropriate action.

5. Police Station & Criminal Record Management
   The system provides a dedicated platform for police stations to manage surveillance-related information. Authorized users can maintain criminal records, photographs, missing-person details, and other relevant information. The system also maintains surveillance logs containing details such as date, time, and location, and supports email notifications for important events.