Technologies / Artificial Intelligence

Face recognition with Raspberry Pi and OpenCV

The training combines practical applications of embedded systems with advanced facial recognition techniques. Participants will learn the process of implementing a face recognition system on the Raspberry Pi platform using the OpenCV library. The program is implemented in the form of workshops, where 80% of the time is devoted to practical exercises. The classes are conducted in small groups, which ensures individual attention to each participant.

Issues

Architectures of face recognition systems
OpenCV library and its applications
Detection of objects in the image
Feature extraction
Pattern recognition algorithms
Real-time image processing
Raspberry Pi embedded systems
Performance optimization
Camera calibration
Biometric databases
Image normalization
Validation and testing of vision systems

Benefits

Practical knowledge in the implementation of face recognition systems
Ability to develop high-performance applications on the Raspberry Pi platform
Knowledge of vision system optimization techniques
Experience integrating OpenCV with embedded systems
Ability to design real-time systems
Ability to adapt system parameters to different conditions

Who is this training for?

Python programmers interested in vision systems

Embedded systems engineers

Computer Vision professionals looking to expand their knowledge of embedded systems

IoT application developers

Automation engineers

AI technology enthusiasts working with embedded systems

Prerequisites

Basic knowledge of the Python language
General knowledge of image processing
Fundamentals of embedded systems programming
Knowledge of the basics of Linux systems

Training program

Configuring the Raspberry Pi environment
Basics of image processing in OpenCV
Camera preparation and parameter optimization

Haar Cascade detector implementation
Extraction of facial features
Optimization of detection performance
Handling different lighting conditions

Creating and managing a database of faces
Implementation of recognition algorithms
Image normalization techniques
Methods to increase recognition accuracy

Real-time system implementation
Optimize resource consumption
Methods to increase productivity
Creating the user interface

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Face recognition with Raspberry Pi and OpenCV we recommend: Basic knowledge of the Python language; General knowledge of image processing; Fundamentals of embedded systems programming.

What is the format and duration of this training?

The training lasts 3 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Python programmers interested in vision systems; Embedded systems engineers; Computer Vision professionals looking to expand their knowledge of embedded systems.