Azure Face API

Azure Face API

Microsoft
EchoDepth

EchoDepth

Cavefish Ltd
+
+

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About

Embed facial recognition into your apps for a seamless and highly secured user experience. No machine learning expertise is required. Features include: face detection that perceives faces and attributes in an image; person identification that matches an individual in your private repository of up to 1 million people; perceived emotion recognition that detects a range of facial expressions like happiness, contempt, neutrality, and fear; and recognition and grouping of similar faces in images. Recognize faces according to diverse attributes. Add facial recognition to your apps, all through a single API call. Run Face in the cloud or on the edge in containers. Rely on enterprise-grade security and privacy applied to both your data and any trained models. Detect, identify, and analyze faces in images and videos. Build on top of this technology to support various scenarios. Detect one or more human faces along with attributes.

About

EchoDepth is an Emotional Risk Intelligence platform from Cavefish. It measures how communication will land before it is delivered, scoring delivery risk across video, voice and text. Unlike sentiment analysis, which classifies language as positive or negative after the fact, EchoDepth analyses observable delivery signals and returns scored, timestamped reports showing where audiences disengage and what to change. Measurement is built on the Facial Action Coding System standard: 44 Action Units calibrated across 14 cultural cohorts in 6 countries, rather than generic image classification. EchoDepth reports what the facial muscles did, not what emotion that represents, leaving interpretation to context-aware human review. For regulated deployment this is the defensible architecture. Typical applications include earnings call and investor communication review, FCA Consumer Duty vulnerability detection, contact centre escalation prevention, interview consistency scoring, and defence

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies and developers looking for a facial recognition solution to detect faces and attributes in images

Audience

Enterprise teams in regulated and high-stakes settings: investor relations and finance, contact centre and customer operations, HR and talent, market research and insight, defence and security. Typically financial services, healthcare, public sector and transport.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.01 per month
Free Version
Free Trial

Pricing

$5000 per month
proof of concepts start at $25k
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/cognitive-services/face/#features

Company Information

Cavefish Ltd
Founded: 2023
United Kingdom
cavefish.ai

Alternatives

Alternatives

MorphCast

MorphCast

Cynny
FaceReader

FaceReader

Noldus
Face++

Face++

Megvii
Face SDK

Face SDK

3DiVi
Azure Face API

Azure Face API

Microsoft

Categories

Categories

Emotion Recognition Features

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

Integrations

AI/ML API
Azure Marketplace
Orange Logic OrangeDAM

Integrations

AI/ML API
Azure Marketplace
Orange Logic OrangeDAM
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