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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Incorporate facial recognition technology into your applications for an enhanced and secure user experience without the need for specialized machine learning knowledge. The system offers features such as face detection that identifies faces and their characteristics within images; individual identification that allows for matching against a private database of up to one million users; emotion recognition that assesses various facial expressions such as happiness, sadness, and fear; as well as the ability to recognize and cluster similar faces in photographs. You can identify faces based on a variety of attributes and integrate this functionality into your applications with just a single API call. The technology can operate seamlessly either in the cloud or on edge devices within containers. With a focus on enterprise-level security and privacy, it ensures the protection of both your data and the trained models. This platform enables the detection, identification, and analysis of faces in both images and video content, providing a robust foundation for a multitude of applications. Additionally, it supports the detection of multiple human faces along with their associated attributes in a single instance.

Description

Utilizing language as a lens, one can uncover various personality traits and motivations. Receptiviti aligns these traits with the Big Five personality model, encompassing 35 distinct personality measures. By assessing elements like authenticity, influence, and social connection, it becomes possible to gain insight into how individuals navigate social environments. Additionally, this analysis reveals the underlying drivers of behavior, whether they stem from aspirations for success and self-fulfillment, a desire for power, the pursuit of rewards, aversion to risks, or tendencies toward risk-taking. Furthermore, it can identify harmful or aggressive language that conveys bias, hate, or violence against specific demographic groups. The capability to ascertain the authorship of written content makes this tool particularly valuable in fields such as literary analysis, cybersecurity, forensic investigations, and the scrutiny of social media interactions, thereby enhancing our understanding of communication in various contexts. In a world increasingly shaped by digital interactions, the implications of these insights are both profound and far-reaching.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace Yes 
Orange Logic OrangeDAM Yes 
Unified.to No 

Integrations

Azure Marketplace No 
Orange Logic OrangeDAM No 
Unified.to Yes 

Pricing Details

$0.01 per month
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/cognitive-services/face/#features

Vendor Details

Company Name

Receptiviti

Founded

2015

Country

Canada

Website

www.receptiviti.com/platform

Product Features

Emotion Recognition

Facial Emotions No 
Facial Expression Analysis No 
Machine Learning No 
Photo Emotions No 
Speech Emotions No 
Video Emotions No 
Written Text Emotions No 

Product Features

Emotion Recognition

Facial Emotions No 
Facial Expression Analysis No 
Machine Learning No 
Photo Emotions No 
Speech Emotions No 
Video Emotions No 
Written Text Emotions No 

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