Online or onsite, instructor-led live Face Recognition training courses demonstrate through interactive hands-on practice the fundamentals and advanced concepts of Face Recognition.
Face Recognition training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Face Recognition trainings in Pretoria can be carried out locally on customer premises or in NobleProg corporate training centers.
Face Recognition is also known as Facial Recognition.
NobleProg -- Your Local Training Provider
Sheraton Pretoria Hotel
643 Corner Stanza Bopape, Pretoria, South Africa, 0007
Situated in the eastern suburbs (Moreletapark) of Pretoria, Wingate Park Country Club offers a facility steeped in history. T...
Situated in the eastern suburbs (Moreletapark) of Pretoria, Wingate Park Country Club offers a facility steeped in history. The grounds are blessed with old trees, flowering shrubs and a variety of birdlife.
If some one is coming from taxi from airport Hotel direction: 8.7 miles N
Airport shuttle service, reservation required, fee: 650 ZAR (one way)
24 Hours, 7 days a week
Shuttle Phone: +27 12 4299999
Alternate transportation: Uber; fee: 190 ZAR (one way) ;on request
Estimated taxi fare: 120 ZAR (one way)
For driving directions:
Get on R24 in Isando from Exit 46, Head southeast, Slight right onto To Parking Rd, Keep right, Slight right toward Exit 46, Keep right at the fork to continue on Exit 46, follow signs for R24/Johannesburg, Follow R24, N3 Eastern Bypass/N3 and Ben Schoeman Fwy/Pretoria Main Rd to Eeufees Rd/M7 in Groenkloof 358-Jr, Pretoria. Take exit 335 from Ben Schoeman Fwy/Pretoria Main Rd/N14, Continue onto R24, Merge onto N12/R24, Take exit 113 for N3 S/N12 toward M2/Kimberley/Germiston/Durban, Keep right at the fork, follow signs for N3 N/N1/Pretoria and merge onto N3 Eastern Bypass/N3, At the interchange 104-Buccleuch, Use the left 2 lanes to follow signs for M1 toward Johannesburg, Keep right at the fork to continue on Exit 104, follow signs for N1/Pretoria/Polokwane and merge onto Ben Schoeman Fwy/Pretoria Main Rd/N1, Keep right to continue on Ben Schoeman Fwy/Pretoria Main Rd, Continue onto Ben Schoeman Fwy/Pretoria Main Rd/N14, Use the left 2 lanes to take exit 335 for M7/Eeufees Road toward Pretoria, Take Christi
Pretoria - Brooklyn Bridge
Brooklyn Bridge Office Park, 570 Fehrsen, Pretoria, South Africa
The Brooklyn Bridge business centre occupies a three-storey modern building in the popular Brooklyn Circle office park on the...
The Brooklyn Bridge business centre occupies a three-storey modern building in the popular Brooklyn Circle office park on the outskirts of South Africa's administrative capital, Pretoria. The building in the heart of Pretoria's eastern suburbs features state-of-the-art finishes and is close to many amenities in this dynamic diplomatic area and business hub. Many embassies are to be found close to the business centre, which lies about 20 minutes by road from the central business district along the M7 or M11 and includes ample basement parking. There is also parking at the nearby Brooklyn Mall. Some of Africa's 500 best-managed companies are based in the city, including health, engineering, security and legal services sector companies.
OpenFace is Python and Torch based open-source, real-time facial recognition software based on Google's FaceNet research.
In this instructor-led, live training, participants will learn how to use OpenFace's components to create and deploy a sample facial recognition application.
By the end of this training, participants will be able to:
Work with OpenFace's components, including dlib, OpenVC, Torch, and nn4 to implement face detection, alignment, and transformation
Apply OpenFace to real-world applications such as surveillance, identity verification, virtual reality, gaming, and identifying repeat customers, etc.
Audience
Developers
Data scientists
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
This instructor-led, live training introduces the software, hardware, and step-by-step process needed to build a facial recognition system from scratch. Facial Recognition is also known as Face Recognition.
The hardware used in this lab includes Rasberry Pi, a camera module, servos (optional), etc. Participants are responsible for purchasing these components themselves. The software used includes OpenCV, Linux, Python, etc.
By the end of this training, participants will be able to:
Install Linux, OpenCV and other software utilities and libraries on a Rasberry Pi.
Configure OpenCV to capture and detect facial images.
Understand the various options for packaging a Rasberry Pi system for use in real-world environments.
Adapt the system for a variety of use cases, including surveillance, identity verification, etc.
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
Other hardware and software options include: Arduino, OpenFace, Windows, etc. If you wish to use any of these, please contact us to arrange.
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