Pangiam and Google Cloud have joined forces to work on Project Dartmouth, an initiative to strengthen the security of airport operations.
Under this initiative, Pangiam’s technologies will be used along with Google Cloud’s artificial intelligence (AI) and machine learning (ML) computer vision solutions to spot threats hidden within luggage and other shipments at airports.
Project Dartmouth aims to secure air travel by incorporating AI into airport baggage security and screening processes.
This capability will be trialled at the security facilities of AGS Airports that owns and runs Aberdeen (ABZ), Glasgow (GLA) and Southampton (SOU) airports in the UK.
Initially, the solution will be used to detect potential threats in baggage.
As a result, it will streamline the flow of passengers at security checkpoints and back security teams.
In the later stages, this capability will help address other pressure points in security and wider airport procedures.
The AI and ML models will be upgraded for spotting prohibited objects in real-time during the scanning of bags.
Additionally, it will be utilised to flag uncommon patterns and anomalies that could compromise security and alert security officers to inspect those items.
AGS Airports COO Mark Johnston said: “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.”
Last month, Glasgow Airport started the trial of the eCOBUS, a zero-emission bus to move travellers between the terminal and aeroplanes parked at distant stands.
