Airport security remains one of the most critical threats faced by large cities. The rapid expansion in the aviation industry has escalated these threats due to the increase in passenger numbers. Automation of security and operational tasks is at the heart of providing effective screening and protection while scaling up to accommodate the growing numbers of passengers. Advanced Video Analytics has a crucial role in providing effective solutions that either autonomously detect and contain threats or assist security officers by providing superior situational awareness.
Advanced video analytics has been successfully deployed in airports to address critical safety and security needs. While some of the solutions are targeting proactive use of the surveillance network and increasing the situational awareness of security officers, others are fully automated and contain threats while alerting authorities.
- At passenger security screening immediate detection of breaches to the landside/airside boundary are crucial to the secure operation of the airport. Furthermore, in large terminal buildings volubility must be mitigated by continuously monitoring unattended screening lanes for intruders.
- At immigration desks Face Recognition scans passengers’ facial data constantly, comparing it in real time against a database of known suspects while storing every detected face in a passengers’ database to enable retrospective forensics searches.
- At arrivals exit lanes, video analytics instantly detects pass-back violations and physically contains infiltrators by shutting automatic doors while alerting authorities.
- Video analytics also plays a role in airside security and operations through identifying specific behaviours involving people, planes, and vehicles in an active and dynamic scene. Airside virtual intrusion and security of the Critical Paths are two of the areas where video analytics has been used to replace physical barriers by creating virtual aircraft zones and detecting unauthorised individuals at cargo loading zones.
- Advanced scenario based rules play a big role in reducing nuisance events and focusing on real threats. Abandoned luggage detection is one example of such complex behaviour especially in busy areas like departures retail.
- More recently the forensics use of video analytics in airports has become key in investigating incidents and apprehending those responsible near real time. Technologies like Tag and Track and Face/Behaviour forensics searches have been introduced to assist security officers to analyse hours of video in seconds, focus the investigation to achieve effective results and create the ultimate investigative tool. Face recognition forensics capability can also identify individuals in a network of cameras and search for passenger that visited the airport previously.