CROWD MONITORING AND ALERT SYSTEM

In today’s rapidly evolving technological world, this study introduces an advanced Suspicious Activity and Crowd Monitoring Alert System to improve security in public spaces. The system uses artificial intelligence and machine learning for real-time video surveillance and smart analysis. It can distinguish normal crowd behaviour from suspicious activities using sophisticated algorithms and behavioural analytics. When suspicious activities are detected, instant alerts are generated, allowing swift responses from security personnel. The study also emphasizes compliance with data privacy regulations and responsible data handling. Through a thorough literature review, the research explores the evolution of crowd monitoring systems, addressing challenges, ethical considerations, and emerging trends. Overall, the system contributes to creating safer public spaces by enhancing security measures.