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What is Face++?

Face⁺⁺ provides advanced capabilities for detecting and pinpointing human faces within images, generating precise bounding boxes for each recognized face. It also allows users to store relevant metadata tied to each detected face for later use. Moreover, the system evaluates the likelihood that two faces belong to the same person, supplying a confidence score and specific thresholds for assessing their likeness. By leveraging the Face⁺⁺ Detect API, users can uncover faces in images and receive bounding boxes along with tokens for each identified face, which can be utilized with various other APIs for further analysis. In addition, this Detect API can produce facial landmarks and attributes for the five largest faces found in the image. All APIs are offered free of charge, with users having the option to switch to a paid model based on their specific business requirements, including choices like Pay As You Go or a QPS solution. There are multiple SDK licensing options available for different devices, ensuring a smooth integration process. With Face⁺⁺, developers can effortlessly embed state-of-the-art deep learning image recognition features into their applications through intuitive APIs and SDKs, significantly boosting the capabilities of their software. This versatility not only enhances operational efficiency but also opens up new avenues for innovative application development.

What is CompreFace?

CompreFace is a versatile and open-source facial recognition solution that is easily accessible and can be integrated into any system without requiring advanced machine learning knowledge. Offered in a docker-compose format, it supports multiple models that can operate on both CPU and GPU hardware. By employing sophisticated methods and frameworks like FaceNet and InsightFace, CompreFace enhances security by effectively detecting unauthorized access to restricted areas. In addition to its security benefits, it also aids in gathering data for marketing initiatives and allows for real-time advertising targeting. The tool is valuable for monitoring attendance among employees and students, ensuring they are in their assigned locations. CompreFace can recognize customers upon entry, significantly improving the overall customer service experience for businesses. This technology also streamlines the check-in processes at venues such as hotels, conventions, and airports. Designed for efficiency, flexibility, and user-friendliness, CompreFace stands out as a remarkable tool in the field of facial recognition services, making it an indispensable resource for a wide array of applications. Its straightforward nature empowers organizations of all sizes to utilize this innovative technology effectively, thereby enhancing operational capabilities across various sectors.

Media

Media

Integrations Supported

Adobe Analytics
Amazon Web Services (AWS)
Azure Marketplace
Microsoft 365
Red Hat Cloud Suite

Integrations Supported

Adobe Analytics
Amazon Web Services (AWS)
Azure Marketplace
Microsoft 365
Red Hat Cloud Suite

API Availability

Has API

API Availability

Has API

Pricing Information

$100 per day
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

Megvii

Date Founded

2011

Company Location

China

Company Website

www.faceplusplus.com

Company Facts

Organization Name

Exadel

Company Location

United States

Company Website

exadel.com/solutions/compreface/

Categories and Features

Emotion Recognition

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

Categories and Features

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