Difference between revisions of "FindFace"
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NtechLab’s algorithm uses multiple neural networks for face image search and identification. One network detects the face in a photo or video stream, the other extracts a biometric pattern, while others work with attributes (gender, age, glasses, beard and others).] | NtechLab’s algorithm uses multiple neural networks for face image search and identification. One network detects the face in a photo or video stream, the other extracts a biometric pattern, while others work with attributes (gender, age, glasses, beard and others).] | ||
| − | FindFace technology offers an unprecedented level of flexibility that allows tailoring our services to your business needs. As a partner, you will get access to all the necessary tools to successfully fulfill local enterprise contracts and major government projects alike. We provide ready-made facial recognition software as well as modules integrable with a number of popular security and recognition systems. Our face recognition technology solves detection tasks both in public spaces and on a mobile platform, allowing for a unified system with a database consisting of billions of faces. | + | FindFace technology offers an unprecedented level of flexibility that allows tailoring our services to your business needs. As a partner, you will get access to all the necessary tools to successfully fulfill local enterprise contracts and major government projects alike. We provide ready-made facial recognition software as well as modules integrable with a number of popular security and recognition systems. Our face recognition technology solves detection tasks both in public spaces and on a mobile platform, allowing for a unified system with a database consisting of billions of faces. [[CiteRef::ntechlabFaceDetectionVerification2022]] |
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Latest revision as of 17:28, 20 April 2024
Technology Type: Video Analysis, Facial Recognition - Retrospective, Facial Recognition - Live
Details:
| Dataset used | |
|---|---|
| Related Technologies | |
| Code Repository |
Developers and Users:
| Developed by | Ntech Lab |
|---|
Events:
| Creation Date | 1 February 2016 |
|---|---|
| End Date |
Description[ ]
NtechLab’s algorithm uses multiple neural networks for face image search and identification. One network detects the face in a photo or video stream, the other extracts a biometric pattern, while others work with attributes (gender, age, glasses, beard and others).]
FindFace technology offers an unprecedented level of flexibility that allows tailoring our services to your business needs. As a partner, you will get access to all the necessary tools to successfully fulfill local enterprise contracts and major government projects alike. We provide ready-made facial recognition software as well as modules integrable with a number of popular security and recognition systems. Our face recognition technology solves detection tasks both in public spaces and on a mobile platform, allowing for a unified system with a database consisting of billions of faces. 1
References
- ^ "{Face detection, verification and recognition technology".