Modular and
highly scalable
face recognition containers.
Paravision's face recognition engines are based on our world-class SDKs. Docker-based and fully modular, the engines enable rapid deployment and scalability to fit any enterprise need.
World-class Accuracy
Paravision face recognition software consistently ranks at the top of NIST FRTE benchmarks, including 1:1 Verification, 1:N Identification, and Demographic Variations
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Modular capabilities that work seamlessly together
Paravision Containers
Complimentary Products
Products
Processor Container
Bundled capabilities for digital identity
Created with seamless integration in mind, Paravision Processor Container offers our full suite of face recognition, liveness, age estimation and deepfake detection in an easy-to-deploy package. It seamlessly connects with third-party apps and integrates natively with Paravision Search for a full fledged identity capability.
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Streaming Container
Faces, People, and Vehicles: AI for Streaming Video
Paravision’s Streaming Container integrates with standard video protocols, such as RTSP, to accurately detect and extract faces, people, and vehicles. Streaming delivers outstanding system efficiency, handling over 250 frames per second of video—from an arbitrary number of sources—on a single Intel CPU / NVIDIA GPU instance.
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Products that work together
Our software for face recognition is built to fit our partners’ goals, supporting transformative identity solutions and customer experiences.
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Streaming Container 7
WatchTech specs
- Processor Container
- Streaming Container
Processor Container
Streaming Container
- Supported Video Protocols: RTSP, HTTP, others available on request
- Streaming Throughput: >250 frames per second with Intel Xeon + NVIDIA T4
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San Francisco, CA
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Headquarters
San Francisco, CA
[email protected]
Paravision Streaming Container 7
Paravision’s Streaming Container Version 7 integrates with standard video protocols, such as RTSP, to accurately detect and extract faces, people, and vehicles. Streaming 7 delivers outstanding system...