AI-Powered Surveillance Advanced Techniques for Video Monitoring and Analysis

Safety and security are now the top concern in today's rapid world for government and private organizations. The conventional surveillance system that is predominantly dependent on human intervention or plain video recording is limited, particularly in cases with wide areas such as cities, transportation terminals, or industrial compounds. To overcome such hindrances, video surveillance systems built on AI were developed as the latest solution in revolutionizing monitoring and analysis via video. To combine video surveillance and artificial intelligence technologies to supplement monitoring, automate examination, and speed up response, the initiative holds a strong promise. With the assistance of AI techniques like object detection, motion tracking, facial recognition, and anomaly detection, the system can handle large volumes of video data in real-time to enable improved, accurate, and actionable insights. Due to the deployment of state-of-the-art deep learning architecture, VD-Net is capable of identifying violent and non-violent behaviours with high efficacy. Sides, data integrity and confidentiality are guaranteed using homomorphic encryption and blockchain security solutions, making it a sound solution for application in real systems. Future work will tackle more adversarial robustness, diversity of datasets, and computational efficiency to enable application in resource-limited environments such as smart cities and industrial parks.