In contemporary society, the challenge of detecting and preventing criminal activities is increasingly pressing, necessitating innovative approaches. In the study, it was found that Indian crime rates has been increased by 0.86% compared to previous years, with a continual rise over time. Most notably, shoplifting, stealing, theft, etc., have increased, indicating a lack of effective crime detection techniques for immediate response by authorities. Concentration was therefore placed on overcoming the slow response time of existing anomaly detection techniques and providing immediate alerts to the concerned authorities. Time Distributed LSTMs present an effective avenue for crime detection systems, especially in managing temporal data inherent in crime-related datasets like incident reports, surveillance videos, or sensor recordings. Nevertheless, as Time Distributed LSTMs hold potential in bolstering public safety, it’s imperative to conscientiously address ethical considerations such as safeguarding privacy and mitigating biases throughout the system’s development and deployment phases.