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What is PolygrAI?

PolygrAI presents an innovative platform that provides instant feedback on emotional conditions and the probability of dishonesty. Our intuitive desktop application streamlines the process of conducting polygraph tests—simply initiate the program, choose your video input, and witness the results unfold. This interface allows users to delve deeper than just verbal expressions, uncovering significant subconscious revelations. The primary metric is comprehensive yet easily digestible, enabling a clear understanding of the emotional dynamics at play during the examination. Emotions are categorized in a structured manner, distinguishing between primary, secondary, and tertiary feelings identified throughout the evaluation. When you choose a subject, the application intelligently filters out other individuals captured in the video feed, enhancing precision. Moreover, our desktop software is equipped with an array of additional features designed to promote more effective and efficient evaluations. Users can take advantage of the default screen capturing function that integrates effortlessly with any software, or they may connect via a USB camera for improved capabilities. This combination of features guarantees that each examination is not only insightful but also user-friendly, paving the way for more accurate assessments in the future. With such advancements, PolygrAI is set to revolutionize the way polygraph tests are conducted.

What is Amazon Rekognition?

Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures. Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Google Meet
Microsoft Teams
Orange Logic OrangeDAM
Qrvey
Quickwork
Skype
Trendzact
Unremot
Visionati
WhatsApp
Zoom
n8n

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Google Meet
Microsoft Teams
Orange Logic OrangeDAM
Qrvey
Quickwork
Skype
Trendzact
Unremot
Visionati
WhatsApp
Zoom
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

$100 one-time payment
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PolygrAI

Company Website

polygr.ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/rekognition/

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

People Counting

API
Anonymous Counting
Benchmarking
Car Counting
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Motion Detection
Reporting / Analytics
Retail Counting
Staff Exclusion
WiFi Tracking
Zone / Area Monitoring

Session Replay

Eye Tracking
Form Analytics
Heatmaps
Mouse Tracking
Optimization Tools
Session Recording
Surveys
User Experience Analysis
User Feedback
Visitor Segmentation

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