International Journal on Science and Technology

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AI Powered College Security Surveillance System

Author(s) Kalpana G, Karthick B, Karun C, Dharun P
Country India
Abstract This research focuses on developing an AI-powered security surveillance monitoring system specifically designed for college campuses. With increasing safety concerns in educational environments, traditional security methods such as manual patrols and standard CCTV monitoring often prove inadequate. The proposed system integrates advanced technologies including AI-based facial recognition, helmet and weapon detection, and real-time alert mechanisms using IoT devices like ESP32 microcontrollers, buzzers, and smart cameras. By automating threat detection and improving response times, the system ensures a safer, smarter, and more responsive campus environment. The project also emphasizes cost-efficiency, privacy, and scalability to support future campus security needs
Keywords AI, surveillance, college security, monitoring system, IoT, facial recognition, helmet detection, weapon detection, buzzer alert, ESP32, servo motor, machine learning, YOLO, OpenCV, TensorFlow, PyTorch, Keras, Scikit-learn, Haar Cascade, object detection, real-time alert, centralized monitoring, CCTV, smart campus, access control, predictive analytics, cloud storage, cybersecurity, federated learning, edge computing, computer vision, anomaly detection, smart devices, real-time data processing, NLP, campus safety, mobile app alert, emergency response, intrusion detection, secure boot, GPIO, ADC, UART, SPI, I2C.
Field Sociology > Intelligence / Security
Published In Volume 17, Issue 1, January-March 2026
Published On 2026-02-16
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