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ease
features
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support

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Description

Experience a powerful and user-friendly SDK that drives 60 million augmented reality experiences each month. Enhance your applications with 3D face masks, effects, and more, boasting superior performance compared to Snapchat, all within an SDK designed for iOS, MacOS, Android, and HTML5 platforms. This versatile SDK allows for the addition of 3D face masks and effects, also outperforming Snapchat, and is compatible with Unity. Users can apply augmented reality effects to up to four faces simultaneously across any device without any glitches or delays. Utilizing cutting-edge deep learning techniques, the SDK enables real-time hair color changes during live video streams. Furthermore, it allows for the seamless replacement of backgrounds to create immersive AR experiences. The technology can detect a range of emotions—sadness, happiness, anger, surprise, and fear—within the video feed. It also tracks 17 key body points, including the waist, shoulders, elbows, arms, and head for enhanced interaction. Any 3D file can be transformed into an AR asset, allowing for extensive creative possibilities. Enjoy the advantages of every feature while adopting a pay-as-you-grow model. Signing up is free, and you can integrate the SDK in just a few minutes, with numerous prebuilt integrations available to simplify the process even further. With such a comprehensive set of tools at your disposal, you can easily elevate your AR projects to new heights.

Description

For obtaining precise and dependable information regarding facial expressions, FaceReader stands out as a highly effective automated system that can assist you significantly. It provides clear insights into how various stimuli influence emotions. The software is user-friendly, allowing you to save both time and resources efficiently. Additionally, it facilitates seamless integration with eye-tracking and physiological data. Numerous researchers have adopted automated facial expression analysis software to deliver a more objective evaluation of emotions. FaceReader is characterized by its speed, flexibility, objectivity, accuracy, and ease of use, enabling immediate analysis of data from live feeds, videos, or still images, thereby conserving precious time. Furthermore, it offers the capability to record audio alongside video, allowing researchers to capture the spoken interactions of individuals, such as during human-computer engagements or while observing different stimuli. As the premier automated system for identifying a range of specific traits in facial images, FaceReader effectively recognizes the six fundamental or universal expressions, making it an essential tool in emotion research. This broad functionality ensures that researchers can derive comprehensive insights into emotional responses with minimal effort.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

HTML
Unity

Integrations

HTML
Unity

Pricing Details

$25 per month
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

DeepAR

Country

United States

Website

www.deepar.ai/augmented-reality-sdk

Vendor Details

Company Name

Noldus

Country

Netherlands

Website

www.noldus.com/facereader

Product Features

Emotion Recognition

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

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