Artificial Intelligence solutions for biometrics, data analytics and threat analysis for a smarter, faster and more secure passenger experience.
Face Recognition solutions have processed millions of passengers over the past many years.
Predictive Analytics packages are designed specifically for your business and deliver accurate forecasts for processes, workflow.
Analysis of scanned images using AI enables automatic threat detection.
Aurora-AI’s flexible Artificial Intelligence platform utilising state-of-the-art Deep Learning technology, allows us to create AI solutions for specific airport automation, prediction or analysis requirements.
Aurora has been at the forefront of deploying computer vision, machine learning and pattern recognition solutions for over 20 years; its solutions have been installed worldwide. In fact, it is Aurora’s biometric technology that enables many automated passenger authentication and validation systems at some of the world’s largest airports. Underpinning our world leading accuracy are AI solutions developed through our proprietary Deep Learning technology.
We build “Narrow AI” solutions i.e. each AI is created to perform one (and only one) specific task at speed with unparalleled precision and accuracy. We have numerous AI products ready for deployment/integration, as well as a bespoke AI development service for your own unique requirements.
Key Feature of AURORA-AI:
Biometric Face Recognition based on visible light images.
Biometric Face Recognition based on infrared images captured using our state of the art cameras.
Biometric Face Recognition where visible light images and infrared images can be compared.
Predictive analytics to enable the Digital Twin of the airport to enhance operations management team performance.
Bag-tag OCR to read text from luggage labels to enhance read rates during sortation and act as a failsafe when barcode reading systems fail.
Threat detection in images captured using x-rays or passive emissions.
Facial image quality assessment (ICAO).
Automated queue monitoring.