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What is Pangiam Project DARTMOUTH?

Project DARTMOUTH is a collaborative effort between Pangiam and Google Cloud that utilizes advanced AI and pattern recognition technologies to swiftly process and analyze large volumes of data, enabling the identification of potentially restricted items within luggage, airline cargo, and shipments. By combining Pangiam's National Security-grade technology with Google Cloud's extensive AI capabilities, this initiative offers an innovative solution that adheres to open architecture standards, ensuring easy compatibility with existing hardware and devices in a user-friendly "plug and play" format. This methodology significantly enhances the speed at which security operations are modernized through state-of-the-art software solutions. The system is crafted to function on open platforms and software, facilitating integration with any security technology, irrespective of the manufacturer, which promotes scalability across numerous checkpoints and additional locations. Furthermore, by deploying software and machine learning models on standalone edge devices, it equips frontline operations with powerful tools that can adjust to diverse security conditions. In essence, Project DARTMOUTH seeks to transform airport security measures while maintaining high efficiency and effectiveness in the detection of potential threats. The ultimate goal is to create a safer travel environment while streamlining security processes to improve overall user experience.

What is Better Airport?

Better Airport is a cloud-based SaaS platform designed to unify planning, analysis, and operational functions in airports, effectively connecting previously separate areas such as check-in, baggage handling, security, gate assignments, and immigration. Emphasizing "Connected Operations," this solution acts as a holistic tool for operational forecasting, resource optimization, and prompt decision-making by bringing together data related to passenger, baggage, and aircraft movements. The platform comprises nine essential modules that can be implemented gradually, including options like forecasting, check-in, security, virtual queuing, and stand & gate management, allowing airports to scale their capabilities as needed. Additionally, by seamlessly integrating with existing systems like AODB and various operational back-ends, it enables airports of all sizes to boost efficiency and utilize data-driven insights to reduce wait times, optimize staff and resource allocation, and greatly enhance the passenger journey from arrival to boarding. This cutting-edge approach not only improves operational workflows but also creates a more agile atmosphere for airport personnel and travelers alike, ultimately leading to a more satisfying travel experience. As airports continue to evolve, the ability to adapt and enhance services in real-time will become increasingly vital.

Media

Media

Integrations Supported

Google Cloud AI Infrastructure
Google Cloud Platform

Integrations Supported

Microsoft Azure
MuleSoft Anypoint Platform

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Pangiam

Company Location

United States

Company Website

pangiam.com/projectdartmouth/

Company Facts

Organization Name

Copenhagen Optimization

Date Founded

2014

Company Location

Denmark

Company Website

copenhagenoptimization.com/better-airport

Categories and Features

Computer Vision

Not specified

Categories and Features

Airport Management

Not specified

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