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What is Good Vibrations Company (GVC)?

In multiple applications of GVC, the first step is to identify emotions: users speak for a few seconds, allowing the GVC Emotion Recognition algorithm to analyze various acoustic features of their voice to gain insight into their emotional state. The results generated by our emotion recognition system can subsequently inform other algorithms to determine appropriate responses for the user. At GVC, we prioritize feedback types that improve both user performance and overall quality of life, which involves examining signals from the user’s voice, heart, lungs, and other physiological systems. The GVC concept has been implemented across a variety of demonstration applications, all using a set of proprietary algorithms designed to evaluate different elements of the user’s speech, such as the GVC Emotion Recognition and GVC Voice Disorder Detection algorithms. Through this integration, we aim to enhance the user experience by ensuring that the responses are not only timely but also tailored to their emotional needs. By leveraging cutting-edge technology, we work to cultivate a more profound connection between users' emotional states and the feedback that they receive, thereby enriching their interactions. This holistic approach ultimately fosters an environment where users feel understood and supported.

What is Betaface?

We offer an extensive selection of pre-built components, such as SDKs for facial recognition, coupled with customized software development services and cloud-based web solutions, all focused on image and video analysis, including face and object recognition. Our cutting-edge technology caters to a variety of industries like video and image archiving, online marketing, entertainment projects, media content production, video surveillance, security software, and solutions for both end-users and B2B software developers. The Betaface facial recognition suite integrates a broad spectrum of complex processes, covering everything from simple face detection to in-depth face recognition, which involves identification, verification, and multiple matching methods (1:1 and 1:N). Moreover, it supports biometric measurements, tracking of faces and features within videos, and identifies characteristics such as age, gender, ethnicity, and emotions, while also evaluating skin, hair, and clothing colors, along with different hairstyle shapes. Our innovative technology is increasingly recognized across numerous sectors, including video and image archives, web advertising initiatives, and entertainment ventures, fundamentally transforming the management and utilization of visual content. By continuously evolving and adapting to the needs of our clients, we strive to remain at the forefront of technological advancements in this domain.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Good Vibrations Company

Date Founded

2011

Company Location

Netherlands

Company Website

good-vibrations.nl/

Company Facts

Organization Name

Betaface

Date Founded

2007

Company Location

Germany

Company Website

www.betaface.com/wpa/

Categories and Features

Emotion Recognition

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

Categories and Features

Emotion Recognition

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

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