Smarter Secure Surveillance: Leveraging AI, IoT, and Cryptographic Techniques for Enhanced Public Safety

The Internet of Things (IoT) has significantly enhanced human security through various smart devices and wearables.Despite minor drawbacks, such as vibrations caused by these devices, their benefits far outweigh the challenges.The Internet of Things (IoT) plays a crucial role in the development of smart cities and smart homes, particularly in enhancing public safety and security.By integrating IoT with deep learning, real-time threat detection can be significantly enhanced.This research addresses a critical challenge in IoT-based security systems: ensuring secure data communication from its point of generation to analysis and final consumption.The proposed system introduces a novel dataset-driven approach that leverages deep learning for real-time detection of potential threats, such as individuals carrying sharp objects or those attempting to conceal their identity with face coverings.By combining IoT with digital image processing and cryptographic techniques, the system ensures secure data transmission while promptly alerting authorized personnel to potential security threats.This work not only strengthens public safety but also mitigates risks associated with malicious activities, offering a robust and intelligent IoT-based security framework.