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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Experience a powerful and user-friendly SDK that drives 60 million augmented reality experiences each month. Enhance your applications with 3D face masks, effects, and more, boasting superior performance compared to Snapchat, all within an SDK designed for iOS, MacOS, Android, and HTML5 platforms. This versatile SDK allows for the addition of 3D face masks and effects, also outperforming Snapchat, and is compatible with Unity. Users can apply augmented reality effects to up to four faces simultaneously across any device without any glitches or delays. Utilizing cutting-edge deep learning techniques, the SDK enables real-time hair color changes during live video streams. Furthermore, it allows for the seamless replacement of backgrounds to create immersive AR experiences. The technology can detect a range of emotions—sadness, happiness, anger, surprise, and fear—within the video feed. It also tracks 17 key body points, including the waist, shoulders, elbows, arms, and head for enhanced interaction. Any 3D file can be transformed into an AR asset, allowing for extensive creative possibilities. Enjoy the advantages of every feature while adopting a pay-as-you-grow model. Signing up is free, and you can integrate the SDK in just a few minutes, with numerous prebuilt integrations available to simplify the process even further. With such a comprehensive set of tools at your disposal, you can easily elevate your AR projects to new heights.

Description

The NtechLab platform is designed to analyze video content, identifying human faces, bodies, actions, vehicles, and license plates with impressive precision. Utilizing advanced AI technology, it achieves exceptional speed and accuracy, setting new standards for recognition capabilities. The FindFace Multi system enhances this by offering multi-object recognition and analytical features, which are particularly beneficial for both public sector applications and various business needs. This technology enables swift and precise identification of faces, human forms, cars, and license plates in real-time video feeds or archived footage. Users can search through databases or archives not only by image samples but also by distinctive characteristics such as age, clothing color, or vehicle type. The dedicated team at NtechLab is continually refining these recognition algorithms to boost their effectiveness and precision further. With FindFace Multi, the process of detecting a face in live video, recognizing it, and finding a corresponding match in a vast database can be accomplished in under a second, making it an invaluable tool for real-time surveillance and analysis. Furthermore, this rapid response capability ensures that users can act promptly on the information gathered, enhancing security and operational efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

HTML
Unity

Integrations

HTML
Unity

Pricing Details

$25 per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DeepAR

Country

United States

Website

www.deepar.ai/augmented-reality-sdk

Vendor Details

Company Name

NtechLab

Founded

2015

Country

Russia

Website

ntechlab.com/findface-multi/

Product Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Emotion Recognition

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

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