Sao Paulo - Nacoes Unidas Tower

12495, Nacoes Unidas Avenue, 15th floor, Sao Paulo , Brazil
This Regus Center is located on the 15th floor of the Torre Nações Unidas building. with proximity to the Berrini business ...

Sao Paulo, Top Center Paulista

854 Paulista Avenue,, Sao Paulo , Brazil, 01310-100
The Top Center in São Paulo is located on Paulista Avenue. The center is close every amenity from hotels to restaurants. It ...

Campinas - Shopping Galleria Plaza

Avenida Doutor José Bonifácio Coutinho Nogueira, 150, Campinas, Brazil, 13091-611
Accelerate your business and find a stimulating environment for your ideas and innovations in Campinas, Brazil's Silicon Vall...

Explore Our Courses

OpenFace: Creating Facial Recognition Systems

 14 Hours
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
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Raspberry Pi + OpenCV for Facial Recognition

 21 Hours
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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Testimonials (3)

examples and exercises

Kamil
Course - Introduction to Data Science and AI using Python

Machine Translated

All the information presented

Jose Victor - si
Course - Artificial Intelligence (AI) for Managers

The exercises and examples presented.

Marcos - si
Course - Artificial Intelligence (AI) for Managers

Machine Translated

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