Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Assaia provides a cutting-edge solution powered by AI and computer vision, specifically designed for airports, airlines, and ground handlers to achieve real-time insights and proactive management of turnaround and apron activities. The system processes live video feeds from established cameras and various sensors, transforming them into organized event data while employing machine-learning algorithms to calculate crucial metrics like estimated off-block time, anticipated readiness for departure, and alerts for service-related tasks. The advantages of this technology encompass enhanced punctuality, minimized ground delays, optimized use of gates and stands, reduced safety incidents, and decreased fuel and taxi times. Additionally, it features comprehensive dashboards for live turn tracking, watchlists, alert systems aligned with the operational rules of airlines for essential tasks such as cleaning, baggage loading, and pushback, along with mobile alert notifications, API and data-export functionalities, and streamlined workflows for managing exceptions. Overall, Assaia’s solution not only elevates operational efficiency but also significantly contributes to the safety and satisfaction of airline passengers.
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
Yes
API Access
Has API
No
Integrations
Google Cloud AI Infrastructure
No
Google Cloud Platform
No
Integrations
Google Cloud AI Infrastructure
Yes
Google Cloud Platform
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Assaia
Founded
2017
Country
Switerland
Website
www.assaia.com
Vendor Details
Company Name
Pangiam
Country
United States
Website
pangiam.com/projectdartmouth/
Product Features
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No