Aviation security gets a new face with an AI-driven accessible screening solution that is a part of Project Dartmouth, a collaboration between tech company Pangiam and Google Cloud. This solution uses artificial intelligence and pattern analysis technologies to analyze vast amounts of data. All this analysis happens in real-time to identify potentially prohibited items in carry-on baggage to prevent coordinated terrorist attacks so that security agencies can take swift action against perpetrators. The Transportation Security Administration (TSA) is currently using this solution on a trial basis.
Threat Detection with Project Dartmouth
Pangiam uses state-of-the-art edge computing with Google Cloud’s AI and ML at the frontline. These cloud-trained AI models run at the edge to speed up the process of threat detection. In addition, using edge computing ensures that there is no concern around network latency and that the solution functions when a network is disconnected.
Achieving aviation security becomes easy with this solution because it uses specialized algorithms to analyze data
and patterns within the data. It replicates human intuition to detect items that may look suspicious to a human.
The solution harnesses Aggregated Threat Detection (ATD) software that detects coordinated threats spread across multiple checkpoints, bags, and lanes. For example, the threat could be a weapon that needs assembling with its parts spread across multiple points. In this case, the solution offers a national protective security capability to alert security agencies. Pangiam’s platform collates data from any OEM anywhere using its API approach.
What does Project Dartmouth Mean for Aviation Security?
Safer and Improved Passenger Experiences Dartmouth’s AI and ML capabilities deliver the changed security measures to travelers seamlessly, so their travel experience is not disturbed, nor is their security jeopardized.
Enhanced Security Measures Using this AI and ML-based solution that replicates human intuition, no item that looks suspicious passes the security check. The aggregated threat detection software enhances the ability to detect complex, coordinated attempts to breach security.
Refined Operational Efficiency Automated threat detection software lightens the load on security officers so they can focus on examining baggage alerts. Additionally, airports can utilize their real estate for something more constructive.
Future of Aviation Security with AI and ML
AI and ML enabled tools can streamline some of the security processes and ensure that passengers safely pass through each security checkpoint. Agencies and security personnel can also handle traveler load without breaking any protocols. AI-enabled security systems continually learn, evolve, and make aviation security robust. They will continue to be an important part of the security process.