TX, Houston - Downtown - Pennzoil Plaza

700 Milam Suite 1300, Houston, United States, 77002

The venue is located just next door to the Jones Hall for the Performing Arts with the entrance just across the street from the Bank of America Center.

TX, Dallas - Downtown Republic Center

Downtown Republic Center, 325 N. St. Paul Street Suite 3100, Dallas, United States, 75201

The venue is located in the iconic Republic Tower, conveniently situated in the heart of downtown Dallas, on the crossing of North Saint Paul Street and Bryan Street and just down the road from the St Paul Station.

TX, Austin - Littlefield Congress

106 E 6th St Suite 900, Austin, united states, 78701

The venue is located in the Littlefield Bvilding between the Capital One Cafe and the Due Forni Pizza and Wine.

Explore Our Courses

AI Facial Recognition Development for Law Enforcement

 21 Hours

This instructor-led, live training in Texas (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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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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