Trueface | Our Technology | Trueface Visionbox

Get started easily with just one command.

Key Features

Docker container exposing a REST API
Available in CPU and GPU-accelerated versions
Able to interface with any language through HTTP calls
Deployable on premises or on your cloud infrastructure

Current Capabilities

Face recognition

(1:1 and 1:N face matching)

Face extraction and
landmark detection

Gender detection

Spoof detection

docker run -e "TOKEN=$YOUR_TOKEN" -v "$(pwd)"/collections:/collections -p 8080:8080 -it trueface/visionbox:latest

Supported Architectures

CPU: 1 Core
Memory: 2GB, 8GB recommended
Nvidia GPU optional but recommended

Supported Operating Systems:

Minimum System Requirements:

CPU: 1 Core
Memory: 2GB, 8GB recommended
Nvidia GPU optional but recommended

Supported Operating Systems:

Benchmarks

Speed (CPU)

Speed (GPU)

Enrolling a person

470 ms

100 ms

Identifying a person (1:N) N = 1000 person collection

450 ms

90 ms

Extracting face information

120 ms

80 ms

Detecting spoof attempt

590 ms

330 ms

Comparing two face features

4 ms

3 ms

*All benchmarks were performed on Intel(R) Xeon(R) E-2176M CPU @ 2.70GHz, 32GB Ram, Nvidia Quadro P2000

Trueface Visionbox Resources

SDK documentation Sample apps Postman

Trueface SDKs

Trueface Visionbox

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State of the art computer vision in a docker image.

Get started easily with just one command.

Key Features

Current Capabilities

Supported Architectures

Supported Operating Systems:

Minimum System Requirements:

Supported Operating Systems:

Benchmarks

Trueface Visionbox Resources

For a safer and smarter world.

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