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Visionlabs. Technologies and solutions презентация
Содержание
- 1. Visionlabs. Technologies and solutions
- 2. VISIONLABS VisionLabs has officially one of
- 3. Этапы типового внедрения платформы FACE RECOGNITION
- 4. TECHNOLOGY. RECOGNITION ACCURACY TPR at FPR
- 5. TECHNOLOGY. RECOGNITION PIPELINE Scale
- 6. TECHNOLOGY. RECOGNITION PIPELINE
- 7. APPLICATIONS. MOBILE AUTHENTICATION Recognition time
- 8. APPLICATIONS. SPEAKER TAGGING Zoe Brown
- 9. APPLICATIONS. WHO DO YOU LOOK LIKE
- 10. APPLICATIONS. RECOGNITION IN VIDEO STREAM
- 11. Этапы типового внедрения платформы FACE ANALYSIS
- 12. 3D AVATAR 3D avatar in
- 13. INTERACTIVE MASKS Interactive masks
VISIONLABS VisionLabs has officially one of the top three world's best visual recognition technologies in the world*. Products: technologies and services for objects’ recognition and analysis. VisionLabs develops
Слайд 2
VISIONLABS
VisionLabs has officially one of the top three world's best visual
recognition technologies in the world*.
Products: technologies and services for objects’ recognition and analysis. VisionLabs develops technologies and solutions for various application in such industries as banking, retail, AR / VR, messengers and other B2B and B2C businesses.
Clients: biggest companies from financial sector, retail and social networks.
Collaboration with such international companies as Facebook, Cisco, Intel, SAS, T-Mobile and others.
Products: technologies and services for objects’ recognition and analysis. VisionLabs develops technologies and solutions for various application in such industries as banking, retail, AR / VR, messengers and other B2B and B2C businesses.
Clients: biggest companies from financial sector, retail and social networks.
Collaboration with such international companies as Facebook, Cisco, Intel, SAS, T-Mobile and others.
*according to University of Massachusetts (LFW benchmark)
Слайд 4 TECHNOLOGY. RECOGNITION ACCURACY
TPR at FPR 10-8 ≈ 82 %
TPR at
FPR 10-6 ≈ 96 %
TPR at FPR 10-7 ≈ 90 %
Слайд 5 TECHNOLOGY. RECOGNITION PIPELINE
Scale + 2D rotation + crop
1. Face
detection
2. Face alignment
Слайд 6 TECHNOLOGY. RECOGNITION PIPELINE
Convolutional Neural Network 1
Convolutional Neural Network N
●
●
●
Face
descriptor d
3. Face descriptor
4. Face distance
Слайд 7
APPLICATIONS. MOBILE AUTHENTICATION
Recognition time – less than 2 seconds
No special requirements
for camera
Secure access to mobile devices
Secure access to mobile devices
Слайд 8
APPLICATIONS. SPEAKER TAGGING
Zoe Brown
Senior VP
Logo
Jason Alba is speaking
Jason Alba
Project Manager
Logo
Ming Yang
Engineer
Logo
Слайд 9
APPLICATIONS. WHO DO YOU LOOK LIKE
Matching against unlimited database
3 nearest
results in 2 seconds
No special requirements for the camera
No special requirements for the camera
Слайд 10
APPLICATIONS. RECOGNITION IN VIDEO STREAM
Shoplifter enters
the store
Notification
for the guards
Reference
photo in database
Face detection in video stream
Recognition in real time
99,8% reliability
Слайд 12
3D AVATAR
3D avatar in real time
Transfer of facial expressions from user
onto a character
No special requirements for the camera
No special requirements for the camera
Слайд 13
INTERACTIVE MASKS
Interactive masks in video stream
Reiteration of face movement
No special
requirements for the camera
Tested solution for messengers
Tested solution for messengers
