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Description
At Eyeris, we are motivated by a commitment to excellence and inspired by individuals from all walks of life, including the dedicated night-shift worker, the nurturing parent, and the ambitious entrepreneur. Our technology is designed with every driver in mind, aiming to ensure a safer and more improved driving experience for everyone. In-cabin cameras serve as the primary sensors for monitoring both drivers and passengers, while Eyeris AI Software intelligently analyzes the complete interior environment captured by these cameras. This system enhances the capability to gather data from various sensor types, ensuring high accuracy through redundant information. Ongoing advancements in hardware are enabling us to run sophisticated AI software more efficiently and at greater speeds. Our state-of-the-art vision-based neural networks deliver a comprehensive array of insights. By utilizing cutting-edge image sensors, our pre-trained vision AI models are equipped to comprehend the full in-cabin environment across a diverse spectrum of lighting conditions. As we continue to innovate, we strive to set new standards in safety and comfort for all road users.
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
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
Eyeris
Country
United States
Website
www.eyeris.ai/technology
Vendor Details
Company Name
Pangiam
Country
United States
Website
pangiam.com/projectdartmouth/
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration