Pangiam and Google Cloud are collaborating on Project DARTMOUTH to trial new AI algorithms that automate cabin baggage screening throughout airport security.
Project DARTMOUTH will combine Pangiam’s technologies with Google Cloud’s artificial intelligence (AI) and machine learning (ML) computer vision tools to create systems that will be tested at AGS Airports in the UK.
Advanced AI and ML technologies will be able to detect prohibited items and alert security staff of anomalies and unusual patterns that could indicate complex or co-ordinated attempts to breach security. Indeed, the Aggregated Threat Detection can identify co-ordinated threats, such as dissembled weapons, across bags, lanes and checkpoints. This integration can also enable wider national security protection that alerts officers of nationally co-ordinated threats.
“This technology marks a monumental step in bringing automation to aviation security and sets a new precedent for international security standards. First and foremost, the technology will deliver a better experience for the traveler, the airport, and governments. To help us achieve this, we have selected Google Cloud as our technology vendor of choice—a leader in artificial intelligence and cloud technologies.”
Alongside identifying current threats, Pangiam’s technologies are designed to identify future threats. Specialised algorithms analyse data and patterns to replicate human intuition and detect items that do not look right.
This automated threat-detection software will relieve security officers of time-consuming tasks, allowing them to focus on high priority areas such as baggage alerts or customer engagement.
“Aviation is an industry that never stands still, and as one of the UK's biggest airport groups, we are continually looking at new ways to adapt and evolve. This is particularly the case when it comes to ensuring the safety and security of the millions of passengers we serve each year. We live in an ever-changing world with evolving threats and it is imperative that we continue to adapt and embrace new technologies that will enable frontline security teams to better deliver a seamless, safe, and secure customer experience.”
