INTELLIGENT SCREAM DETECTION SYSTEM FOR CRIME ALERTS

Abstract: In recent times, personal safety has become a serious concern, especially in situations where individuals are unable to call for help. This research focuses on developing an intelligent system that can automatically detect human screams and send alerts during emergencies. The proposed system uses audio processing and deep learning techniques to identify distress signals and notify emergency contacts without requiring manual action. By reducing response time and ensuring faster communication, the system aims to provide a reliable and practical safety solution. This approach can be useful in real-life scenarios such as women’s safety, elderly care, and public surveillance.

Keywords: Intelligent Scream Detection, Audio Signal Processing, Deep Neural Networks (DNN), MFCC, Emergency Alert Systems, Real-Time Monitoring, Public Safety.