Intelligent Video Analytics is a transformative technology for critical infrastructure monitoring, enhancing security and situational awareness. It performs object counting, classification including passenger counts and clothing recognition, and people segmentation features like gender, age, and ethnicity classification. These can integrate into Business Intelligence (BI) platforms for data analysis. Including face recognition capabilities, the system identifies people and their gender, age, hair, beard, skin tone, glasses, and eye colour.

For tracking individuals across multiple cameras, the system performs person reidentification, facilitating the seamless monitoring of people as they move through different zones. This includes zones and heatmaps feature which enables the tracking of people‘s concentration in specific areas, a crucial subsystem for managing crowd flow and planning transportation capacity and resources. With integrated behavioural analytics the system identifies actions such as falls, violent behaviour, suspicious activities, and even early signs of medical emergencies, therefore increasing passenger safety.

The system provides early warnings for violations, theft, abandoned baggage, and medical emergencies. It’s also useful for locating lost individuals. Beyond transportation, it finds applications in forensics, restricted area access control, and mobile person checks, making it indispensable for security and data-driven decision-making in critical infrastructure.