International Journal on Science and Technology

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Volume 17 Issue 2
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AI-Enabled Human Scream Detection and Safety Alert System

Author(s) Ms. Rupali Suresh Bhad, Dr. Harsha Vyawahare, Dr. Anuja Khodaskar
Country India
Abstract ABSTRACT- Human safety and crime prevention require intelligent systems capable of detecting emergency situations in real time. Traditional surveillance systems mainly depend on visual monitoring, which may be ineffective in low-light conditions or obstructed environments. Human screams are universal indicators of fear, danger, and distress, making acoustic monitoring an effective approach for emergency detection. This paper presents an AI Based Human Scream Detection System for Crime Prevention that utilizes deep learning techniques to identify distress signals from environmental audio. The proposed system employs Mel Spectrogram-based feature extraction and a ResNet34 Convolutional Neural Network (CNN) to classify audio signals into scream and non-scream categories. The framework supports both live microphone monitoring and audio file analysis through a Flask-based web application. Audio signals undergo preprocessing, normalization, and spectrogram transformation before classification by the trained model. Detection results are displayed through an interactive dashboard that provides real-time monitoring and alert generation. Experimental results demonstrate a classification accuracy of approximately 87.7% with low inference latency, making the system suitable for near real-time applications. The proposed framework offers a practical and scalable solution for deployment in smart surveillance systems, educational institutions, healthcare facilities, workplaces, and smart city environments to improve public safety and emergency response.
Keywords KEYWORDS- Human Scream Detection, Crime Prevention, Deep Learning, ResNet34, Mel Spectrogram, Acoustic Event Recognition, Smart Surveillance.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-06-26
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