Facial Recognition API | Meerkat

Features

Easy to use interface

Web Interface: Friendly and easy to use
interface for quick setup

Check the similarity between two classes

Facial Verification: Obtain the similarity score
of two face images

Perform custom searches on enrolled faces

Face Search:Perform custom searches on enrolled faces

Create alarms

Watch List: Create custom watch lists
and alarms

Process images in real-time

Video Streaming: Process images in real-time.
Supports videos and IP/USB cameras.

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frAPI Strengths

Up to 95% of accuracy in Megaface

Accurate

Up to 95% of accuracy in Megaface

Recognizes faces in less than 50 ms. Up to 40 FPS per camera

Fast

Recognizes faces in less than 50 ms. Up to 40 FPS per camera

Handles multiple cameras simultaneously

Scalable

Handles multiple cameras simultaneously

Docker containers for Windows or Linux, cloud or on-premise

Flexible

Docker containers for Windows or Linux, cloud or on-premise

Deploy

Choose the setup that best suits your needs

Cloud API

Cloud - API

Analyze thousands of images in seconds without investing on custom servers.

On-premise - API

On-premise - API

Process multiple cameras in real-time using a single server. Available for Linux and Windows.

Mobile - SDK

Mobile - SDK

Analyze images using mobile devices. Available for Android and iOS.

Cloud API

Cloud - API

Analyze thousands of images in seconds without investing on custom servers.

On-premise - API

On-premise - API

Process multiple cameras in real-time using a single server. Available for Linux and Windows.

Mobile - SDK

Mobile - SDK

Analyze images using mobile devices. Available for Android and iOS.

frAPI Applications

Use case
Access Control

Use case
Fraud Mitigation

Secure your environment using face biometrics to authorize and monitor individuals. With our API you can build efficient access control systems using users biometric features, without requiring passwords or cards.
→ See full case

Mitigate fraud attempts using face biometrics to recognize the faces of known fraudulent individuals. High performance face recognition on video streams allows querying fraudulent people databases in real-time.

frAPI Applications

Clients who use frAPI


Pricing

frAPI can be purchased
as a software license or
as a SaaS.

What are you looking for?

If you need to process video streams in real-time, we recommend purchasing a license and running the software on-premise. If you want to analyze images, we recommend purchasing API calls.

What are you looking for?
Image Analysis
Video Streaming

Image
Analysis

On-premise or Cloud By number of calls Ask for a quote

Pricing depends on the number of calls used per month, deploy type and customer support. The system's deploy can be on Meerkat Cloud, on-premise servers or the customer's own cloud machines. We offer different leves of support, during the integration and utilization phases. To receive a complete quote, click on the bellow button and detail your needs.

Video Stream
Analysis

On-premise Monthly/annual license Ask for a quote

Pricing depends on the number of streams connected to the system, the size of the base and customer support. For real-time usage, the deploy must be done in on-premise servers. We offer different leves of support, during the integration and utilization phases. To receive a complete quote, click on the bellow button and detail your needs.

Frequent Asked Questions

frAPI is a system to automate the detection and identification of faces, with the possibility to generate and manage events and alarms. Also, the software allows the monitoring of streaming in real time. frAPI can be used as an API (Application Programming Interface) locally and/or cloud through HTTP calls.

You may deploy it in one of two ways: on-premise or on the cloud. When using the on-premise version, with a single installer you have the system up and running in your own servers. The cloud deploy may be accessed directly using a URL, username and password. Meerkat also provides a user manual, with general information, and an API documentation via API Blueprint. Our engineering team helps installing and integrating the system into your software.

Yes, for our development version you can access our demo. You'll also find complete documentation. Support happens via email and remote access.

In order for the system to be able to process videos in real time, we recomend an Intel i5 or i7 processor, with AVX instructions and 4GB RAM. GPU is not required. Running the system on this hardware on top of the Linux Operating System you get around 30 FPS per camera, up to 4 cameras. You may increase the number of video streams, but the processing power decreases nearly linearly. For example, 8 camera streams will be processed at 15 FPS; 12 camera streams at 7 FPS; and so on. frAPI scales so that it's able to use all the processing power of servers. For maximum performance, Meerkat recommends using a dedicated server. If you have a different setup, Meerkat's enginnering team will help you with required adjustiments.

No. The system was developed aiming at extracting the best performance of low-end hardware. It's possible to run in GPU for larger scale projects. Meerkat's system is ready for that and will have better performance.

Our system is robust to image variations. However, there are settings that optimize recognitions according to the scenario:
- Open spaces (shopping mall, stadiums): Since there is a lot of exposure to external factors, we advise using high resolution cameras, with focus optimization. Using these cameras you'll also be able to identify people at a greater distance and in agglomerates.
- Closed spaces (schools, universities, office spaces): These are more controlled environments, allowing for the use of lower cost cameras, having at least 720p.

frAPI has 95% accuracy on the Megaface dataset, with a million enrolled faces and response times of less than a second.

frAPI doesn't detect emotions, gender or age. However, these features can be developed on demand by our engineering team. Please reach out to us if you need additional features.

API Documentation

Access our documentation and learn more about our
technology and ways of integrating it into your product

API documentation

Any questions?
Contact us