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 Espírito Santo 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
Vitoria, Work Center Corporate - Alexandre Buaiz
300 - 20º andar, Vitoria, Brazil, 29050-545
The Vitoria Center offers spectacular 360-degree views of one of Brazil's most important cities, including the waters of Vito...
The Vitoria Center offers spectacular 360-degree views of one of Brazil's most important cities, including the waters of Vitoria Bay and the landmark Third Bridge. It is located on the 20th floor of the stunning, high-profile Work Center Office Building, which features beautiful and modern architecture, like its instantly recognizable V-shaped blue-glass facade. The center is right at the heart of Enseada do Sua, the financial and commercial district of Vitoria, and is just walking distance from the best shopping and cultural attractions. Vitoria's two ports are among the most important in the country, exporting iron and steel among many other goods, but the city also has a thriving services sector, beaches that bring tourists and, in recent years, a growing oil industry too. Vitoria is an hour by plane along the Atlantic coast from Rio de Janeiro and Sao Paulo and the city's airport is a short drive from the Center.
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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