
Video Surveillance
Smart city surveillance heavily relies on video surveillance systems. High-definition cameras, often equipped with features like facial recognition, license plate recognition, and video analytics, are strategically placed throughout the city to capture and monitor public spaces, transportation hubs, critical infrastructure, and other areas of interest.

Internet of Things (IoT) Sensors
IoT sensors play a vital role in smart city surveillance by collecting data from various sources. These sensors can be deployed to monitor air quality, traffic flow, noise levels, waste management, parking occupancy, and other urban parameters. The data collected from these sensors is analyzed to gain insights and make informed decisions

Data Analytics and Artificial Intelligence (AI)
The vast amount of data collected through surveillance systems and IoT sensors is processed using data analytics and AI technologies. Machine learning algorithms analyze the data to identify patterns, detect anomalies, and generate actionable insights. This enables proactive monitoring, predictive analysis, and efficient resource allocation for city management and security.





