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Description
Better Airport is a cloud-based SaaS solution aimed at consolidating planning, analysis, and operational tasks within airports, effectively bridging the gaps between previously isolated functions like check-in, baggage handling, security, gate assignments, and immigration processes. Centered on the principle of “Connected Operations,” this platform serves as a comprehensive resource for operational forecasting, optimizing resources, and facilitating timely decision-making by integrating data across passenger, baggage, and aircraft movements. It features a modular structure that includes nine essential modules, enabling airports to implement them gradually (such as forecasting, check-in, security, virtual queuing, and stand & gate management) and expand their capabilities as necessary. Furthermore, by seamlessly connecting with current systems, including AODB and other operational back-ends, it empowers airports of various scales to enhance their efficiency and leverage data-driven insights to minimize wait times, optimize staff and equipment deployment, and significantly improve the overall passenger experience from the moment they arrive to the time they board their flight. This innovative approach not only streamlines operations but also fosters a more responsive environment for both airport staff and travelers alike.
Description
Project DARTMOUTH represents a partnership between Pangiam and Google Cloud, leveraging AI and pattern recognition technologies to process and analyze extensive data in real-time, thereby detecting potentially banned items in various forms of luggage, airline cargo, and shipments. By merging Pangiam's National Security-grade technology with the extensive AI offerings from Google Cloud, this initiative delivers an AI-driven solution designed with open architecture standards, which guarantees seamless compatibility with current hardware and devices in a straightforward "plug and play" format. This approach significantly accelerates the modernization of security operations through cutting-edge software solutions. The system is designed to operate on open platforms and software, allowing for integration with any security technology, regardless of its manufacturer, thus enhancing scalability across multiple checkpoints and beyond. Moreover, by implementing software and machine learning models on independent edge devices, it empowers frontline operations with robust capabilities that can adapt to various security environments. Ultimately, Project DARTMOUTH aims to revolutionize airport security processes while ensuring a high level of efficiency and effectiveness in identifying potential threats.
API Access
Has API
API Access
Has API
Integrations
Google Cloud AI Infrastructure
Google Cloud Platform
Microsoft Azure
MuleSoft Anypoint Platform
Integrations
Google Cloud AI Infrastructure
Google Cloud Platform
Microsoft Azure
MuleSoft Anypoint Platform
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Copenhagen Optimization
Founded
2014
Country
Denmark
Website
copenhagenoptimization.com/better-airport
Vendor Details
Company Name
Pangiam
Country
United States
Website
pangiam.com/projectdartmouth/
Product Features
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration