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. Edinburgh 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
Edinburgh
83 Princes Street , Edinburgh, united kingdom, EH2 2ER
The training rooms is located under a 10 minute walk from Edinburgh Rail Station
This centre's location on Edinburg...
The training rooms is located under a 10 minute walk from Edinburgh Rail Station
This centre's location on Edinburgh's world-famous Princes Street takes some beating. Right in the centre of Scotland's capital city, these prestigious business premises are spread across six floors with fantastic views over Princes Street Gardens towards the Royal Mile and Edinburgh Castle. As well as having all the usual amenities of a major city on its doorstep, the building also has a car park. Prosperous Edinburgh is a global centre for business, science, education and the arts and is said to have the strongest economy of any UK city outside London. Banking has been a part of the economic life of Edinburgh for over 300 years and today it is the UK's second financial centre after London and Europe's fourth by equity assets. Tourism, financial services and banking are particularly important employers as well as education, the public sector and hi-tech research and development.
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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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