Control of Passengers monitors traveler movements to enhance security and efficiency at transport hubs. This system tracks passenger flows, verifies identities, and flags unusual behavior. Airports use it for immigration control, ensuring smooth transitions while identifying threats. For example, a railway station uses AI to track overcrowded areas, deploying staff to reduce congestion. Security teams rely on it to identify suspicious activities in bus terminals or metro systems. By automating monitoring and delivering actionable insights, it optimizes passenger experiences and strengthens public safety. The system also monitors passengers by checking them against available databases.

Construction of Social Graphs maps relationships between individuals, uncovering hidden networks and patterns. Law enforcement agencies use it to trace criminal organizations or detect insider threats. For example, during an investigation, this system identifies connections between suspects, revealing the hierarchy of a drug trafficking ring. Corporations deploy it to monitor employee communication, ensuring compliance. At events, it helps organizers understand attendee interactions, enhancing networking opportunities. By providing visualized insights, it supports informed decisions in security, operations, and engagement strategies.

Fire Control leverages AI to detect early signs of fire, including smoke, heat, or flames, ensuring proactive safety measures. Ideal for factories, warehouses, and public venues, this system integrates with existing surveillance to provide instant alerts. It prevents costly damage by identifying risks before they escalate. For example, a factory detects overheating equipment and initiates shutdown protocols to avoid a fire. In public spaces like malls, it pinpoints fire sources and guides evacuation efforts. By reducing response time and minimizing human oversight, Fire Control is a crucial tool for protecting lives and assets.

The system works both from the ground and from the air (drones) to monitor large areas. It can be integrated with other systems and set up automatic actions, such as calling the fire brigade.

An AI-powered video analytics system designed to enhance workplace safety in industrial environments. It detects unsafe behaviors, monitors hazardous zones, and ensures compliance with safety protocols. For example, it identifies workers not wearing protective gear in real time, alerting supervisors immediately. In high-risk areas, it tracks unauthorized access or unsafe equipment usage, preventing accidents. Integrated with existing CCTV systems, it provides actionable insights to reduce incidents and protect employees. This tool is essential for industries like manufacturing, construction, and mining, prioritizing safety and compliance.

Vehicle Recognition uses AI to identify and track vehicles by type, make, and license plate, ensuring secure and efficient traffic management. It’s widely used for toll collection, parking access, and law enforcement. Cities employ it to monitor traffic violations, flag stolen vehicles, or track suspect movements across regions. For example, a smart city system fines red-light violations in real-time, enhancing road safety. In corporate campuses, it ensures only authorized vehicles enter restricted zones. Adaptable to harsh conditions, it integrates with traffic signals and surveillance networks for seamless operations.