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BigBear.ai Trueface OnPrem
State of the art computer vision in a docker image.
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
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: 4 Cores
Memory: 2GB, 8GB recommended
Nvidia GPU optional but recommended
Supported Operating Systems:
Benchmarks
AWS C6I.2XLARGE (CPU)
AWS G4DN.XLARGE
(GPU)
Templatize Face
104 ms
31 ms
Match Faces
249 ms
60 ms
Enroll Face
93 ms
30 ms
Identify Face (N = 1000)
119 ms
31 ms
Spoof Detection
78 ms
35 ms
Resources
SDK documentation
Sample apps
OnPrem Documentation
BigBear.ai Trueface SDKs
BigBear.ai Trueface API
