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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
No
API Access
Has API
Yes
Integrations
HTML
No
Unity
No
Pricing Details
$25 per month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
Yes
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
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
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
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No
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
