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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.

What is Baidu AI Cloud Face Recognition?

The system features advanced capabilities such as facial recognition, attribute evaluation, face matching, and liveness checks, which enable its application across multiple fields, including finance, personal identification security, and retail settings. It effectively meets key business requirements such as verifying identities, tracking attendance, and controlling access. With its rapid face detection abilities, it quickly identifies the position of detected faces. Furthermore, it accurately assesses a variety of attribute data and provides the coordinates of 150 key facial points. This sophisticated technology can extract distinct facial traits, allowing for direct comparisons between two faces and generating a similarity score that aids in confirming whether they are of the same person. It also validates crucial data such as names, identity card numbers, and facial imagery against a verified database to ensure accurate identity confirmation. Operating offline, the system performs face detection, tracking, and data gathering tasks, while also facilitating liveness detection and capturing high-quality images of faces. Its adaptability and multifunctionality make it suitable for a range of applications, significantly bolstering security and improving the user experience in diverse industries. This widespread applicability underscores its importance in enhancing safety measures and operational efficiency across various sectors.

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

Betaface

Date Founded

2007

Company Location

Germany

Company Website

www.betaface.com/wpa/

Company Facts

Organization Name

Baidu

Date Founded

2000

Company Location

China

Company Website

intl.cloud.baidu.com/product/face.html

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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