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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 Eyeris?

At Eyeris, our drive for excellence is fueled by the diverse backgrounds of individuals, from hardworking night-shift employees to caring parents and driven entrepreneurs. We create technology that caters to all drivers, with a focus on enhancing safety and improving the overall driving experience. Utilizing in-cabin cameras as primary sensors, we effectively monitor the behavior of both drivers and passengers. Our Eyeris AI Software astutely interprets the complete interior captured by these cameras, leveraging data from multiple sensor types to ensure high accuracy through the use of redundant information. With continual improvements in hardware, we are now able to deploy advanced AI software with increased efficiency and speed. Our sophisticated vision-based neural networks offer an extensive range of insights, all while utilizing state-of-the-art image sensors. Our pre-trained vision AI models are designed to understand the in-cabin environment under various lighting conditions, ensuring optimal performance. As we push the boundaries of innovation, we aim to elevate the standards of safety and comfort for every individual on the road, ultimately fostering a more secure driving landscape for all.

Media

Media

Integrations Supported

Google Cloud AI Infrastructure
Google Cloud Platform

Integrations Supported

API Availability

API Availability

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
On-Site Training

Company Facts

Organization Name

Pangiam

Company Location

United States

Company Website

pangiam.com/projectdartmouth/

Company Facts

Organization Name

Eyeris

Company Location

United States

Company Website

www.eyeris.ai/technology

Categories and Features

Computer Vision

Not specified

Categories and Features

Computer Vision

Not specified

Emotion Recognition

Not specified

Eye Tracking

Not specified

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