Now that Heathrow has facilities that allow for passengers to be tested either on arrival or prior to departure, the aviation industry is urging the Government’s new Global Travel Taskforce to launch a testing regime that provides a safe alternative to the existing 14-day quarantine.
The Transportation Security Administration checkpoint at Albany International Airport is now using new technology that confirms the validity of a traveler’s identification and confirms their flight information in near real time. This technology will enhance detection capabilities for identifying fraudulent documents at the security checkpoint.
In this non-TSA-administered program, passengers concerned about crowded airport checkpoints during the pandemic may want to go through Denver International Airport.
The airport is reportedly the first airport in the U.K. to treat its security trays with ultraviolet light energy to protect passengers and staff and reduce the spread of COVID-19 and other infections in the high-touch surface area.
Enhanced analytics, intrusion detection, broad surveillance, access control, facial recognition - a few of the solutions explored here to help with all airport and seaport applications.
The Transportation Security Administration (TSA) is piloting a new touchless “self-service” technology that matches a traveler’s live photo with the photo on their ID. The initiative automatically authenticates a traveler’s ID, matches the live photo with the image on their ID, and confirms their flight information in near real time.
The Department of Homeland Security's Small Business Innovation Research Program gave funding to a small business to advance explosive detection equipment for airports by using machine learning.
With a growing need to improve the security, efficiency and accuracy of passenger and baggage screening, the Department of Homeland Security (DHS) Small Business Innovation Research (SBIR) Program is working with a small business to advance explosive detection equipment. Synthetik Applied Technologies was awarded funding to develop machine learning training data that simulates human travelers and baggage object models to support machine learning algorithms.
The Federal Aviation Administration has plans to test various drone detection and countermeasure systems for use at airports. The first of such tests will take place in Atlanta this year.
