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. Bradford onsite live Face Recognition trainings 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
Bradford
Carlisle Business Centre, 60 Carlisle Road, Bradford, united kingdom, BD8 8BD
Carlisle Business Centre is a not for private profit organisation, driven by a dedicated workforce, that's supported by a vol...
Carlisle Business Centre is a not for private profit organisation, driven by a dedicated workforce, that's supported by a voluntary board of directors. We operate as a social enterprise that donates its generated profit to the Action For Community Ltd charity, enabling us to proudly support the local community.
Situated in a former textile mill, sporting a distinctive clock tower, Carlisle Business Centre is a landmark of Manningham. The building was extended and revived in 1991 to provide a runway for budding entrepreneurs to get off the ground.
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You can access our main car park from Carlisle Road coming into Conduit Street (BD8 7PD) and then taking a right onto Church Street. Please report to our Customer Services Desk on arrival.
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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