3DiVi offers a set of AI-based human recognition and tracking solutions. The software library is written in C++ with integration API in C#, C++, Java, Python, Swift and Flutter. The library algorithms analyze images, video streams and video files to detect, track and match faces and silhouettes and estimate a list of their attributes.
With 3DiVi human recognition and tracking software, you can:
Detect, track, identify and verify faces and silhouettes from multiple camera streams in real time. Output data can be stored in the cloud or entirely within your own infrastructure.
Detect input image quality and estimate such facial attributes as gender, age, emotions, masks, liveness and anthropometric points.
Integrate human recognition and tracking into your application via integration API.
A set of software components (code libraries) for development of facial recognition solutions of any scale - from a mobile app (Android, iOS) to a professional server solution.
REST API for detection of faces and silhouettes, face verification and estimation of facial attributes.
A facial recognition client-server platform with web interface and GraphQL API for processing multiple real-time video streams (deployed as an on-prem solution).
A facial recognition client-server platform with web interface and GraphQL API for processing multiple real-time video streams (available as a cloud service).
Native video analytics and video identification software that processes video files and video streams from cameras to detect and identify faces.
Terms and definitions used in 3DiVi documentation.