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Nordic AI Meet

https://nordicaimeet.com/ 

We are proud and humble to present applied AI within smart logistics airports for nordic young researchers:
https://www.linkedin.com/posts/nora-%E2%80%93-the-norwegian-artificial-intelligence-research-consortium_we-would-like-to-thank-all-the-nora-research-activity-7000791822130143232-OWvN?utm_source=share&utm_medium=member_desktop 

Chronos will hold a presentation at Nordic AI Meet (https://nordicaimeet.com/program)

The main purpose of the symposium is to provide a platform for AI researchers in early careers to exchange ideas, build collaborations and form a nordic approach to building AI solutions for the societal good.

Date: 14 November 2022

Presentation

How to improve efficiency in passenger- and baggage logistics at airports using AI

Speakers: Jon Audun Baar and Stefan Remman, Machine learning engineers, Chronos AS

They will walk through R&D pilots which are parts of the research project Airport Logistics Intelligence Transport Pilot (ALI T-Pilot). The purpose is to demonstrate AI possibilities in scheduling and bag flow optimisation at airports. ALI T-Pilot is a Norwegian Research Council funded research project. The project is run by Sensec Solutions in collaboration with Avinor, Institute for Energy Technology (IFE) and University of Tromsø (UiT), the Arctic University of Norway, as well as Chronos.

Content

We will demonstrate capabilities of Artificial Intelligence within:

1. Automatic planning of Check-in counters

  1. Utilise the limited resources og check in counters
  2. Best possible availability for Airline carriers
  3. Less possible queue line and queue wait

2. Tracking bags using standard IP-cameras

1. Tailored special equipment expensive and space comsuming

3. Conveyour lines bag flow optimisation

  1. Reduce handlers wait
  2. Improve utilisation of the baggage handling system conveyor line topology
  3. Improved, fair bag flow, handling priority bags
Speakers

Jon Audun Baar

Machine learning engineers, Chronos AS

Stefan Remman

Machine learning engineers, Chronos AS
chronos | Fra data til handling
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