Mandalay Classroom

77th x 78th Street, MaHarAungMyay Township, Mandalay, mm, 11101

The Centre located within 2 km of Sri Ganesh Temple and 2.1 km of Ma Soe Yein Nu Kyaung Monastery, 2.3 km from Mahar Thatkyarthiha Pagoda. Cultural Museum & Library is 2.4 km from the hotel and Mandalay University is 2.4 km away, Jade Market is 2.6 km from the accommodation. The nearest airport is Mandalay International Airport, 38 km from Gold Leaf Hotel. Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.

Explore Our Courses

AI Facial Recognition Development for Law Enforcement

 21 Hours
This instructor-led, live training in Mandalay (online or onsite) is aimed at beginner-level law enforcement personnel who wish to transition from manual facial sketching to using AI tools for developing facial recognition systems. By the end of this training, participants will be able to:
  • Understand the fundamentals of Artificial Intelligence and Machine Learning.
  • Learn the basics of digital image processing and its application in facial recognition.
  • Develop skills in using AI tools and frameworks to create facial recognition models.
  • Gain hands-on experience in creating, training, and testing facial recognition systems.
  • Understand ethical considerations and best practices in the use of facial recognition technology.
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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.
Read more...

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Upcoming Courses

Raspberry Pi + OpenCV for Facial Recognition

2025-06-02 09:30
21 hours
Mandalay Classroom
252991 LKR (Online)
282991 LKR (Classroom)

Raspberry Pi + OpenCV for Facial Recognition

2025-06-16 09:30
21 hours
Mandalay Classroom
252991 LKR (Online)
282991 LKR (Classroom)

Raspberry Pi + OpenCV for Facial Recognition

2025-06-30 09:30
21 hours
Mandalay Classroom
252991 LKR (Online)
282991 LKR (Classroom)

Raspberry Pi + OpenCV for Facial Recognition

2025-07-14 09:30
21 hours
Mandalay Classroom
252991 LKR (Online)
282991 LKR (Classroom)

Raspberry Pi + OpenCV for Facial Recognition

2025-07-28 09:30
21 hours
Mandalay Classroom
252991 LKR (Online)
282991 LKR (Classroom)

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