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 training can be carried out locally on customer premises in Plymouth or in NobleProg corporate training centers in Plymouth.
Face Recognition is also known as Facial Recognition.
NobleProg -- Your Local Training Provider
Plymouth
Regus Drake Circus, Unit MSU9A, Level 1, Plymouth, united kingdom, PL1 1EA
Business travellers now have somewhere to work and meet while on the go – walk-in workspace at Drake Circus shopping centre...
Business travellers now have somewhere to work and meet while on the go – walk-in workspace at Drake Circus shopping centre in Plymouth. Our business lounge features flexible workspace and desks along with meeting rooms to rent by the day, half-day or hour.
Work smart and meet your clients in a professional environment. A virtual office service is also available. It’s easy to access by car and there’s plentiful parking at this site close to Plymouth University and the City Museum. The railway station is just 10 minutes away on foot.
• Fully-equipped meeting rooms
• Fully equipped private day offices
• Free high speed WiFi and refreshments
• Business class facilities – print, scan and copy documents
• Plentiful parking
• Walk in business lounge with flexible workspace to work productively
• Virtual offices – mail handling, business address & telephone answering
How to find us: We are located on Car Park Level 1/Food Court, next to The Entertainer Toy Shop.
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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