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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.
Description
Syntonym offers a privacy-centric approach to AI and machine vision through its innovative lossless anonymization technology, ensuring that visual data remains protected while allowing for complete utilization of insights. This technology enables the real-time removal of personal identifiers, such as faces and license plates, without compromising the quality, utility, or performance of data used in camera-based technologies. Unlike traditional methods that simply blur or diminish the quality of footage, Syntonym employs a method that irreversibly substitutes sensitive identifiers with highly realistic synthetic versions, which retain crucial characteristics like facial expressions, gaze direction, head orientation, demographic data, eye movements, and blinks. Designed specifically for visual AI systems, Syntonym is applicable in various fields that require responsible handling of real-world video and image data, including in-cabin monitoring, ADAS training, robotics, physical AI applications, smart devices, vision language models, augmented reality glasses, wearables, and intelligent cameras. The versatility of Syntonym Lossless allows it to be implemented in multiple environments, such as cloud services, private clouds, on-premises installations, or through a real-time edge SDK, making it adaptable to a wide range of use cases. This comprehensive solution not only enhances privacy but also empowers organizations to leverage visual data technology with confidence.
API Access
Has API
API Access
Has API
Integrations
Google Cloud AI Infrastructure
Google Cloud 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
Pangiam
Country
United States
Website
pangiam.com/projectdartmouth/
Vendor Details
Company Name
Syntonym
Founded
2019
Country
United Kingdom
Website
syntonym.com
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration