COURSE OVERVIEW
IT0035 : Face Detection with OpenCV in Python

OVERVIEW
COURSE TITLE | : | IT0035 : Face Detection with OpenCV in Python |
COURSE DATE | : | May 25 - May 29 2025 |
DURATION | : | 5 Days |
INSTRUCTOR | : | Mr. Abdel Aziz Issa |
VENUE | : | Dubai, UAE |
COURSE FEE | : | $ 5500 |
Request For Course Outline |
Course Description
This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops.
This course is designed to provide participants with a detailed and up-to-date overview of Face Detection with OpenCV in Python. It covers the face detection and the difference between detection and recognition; setting-up OpenCV in Python and image processing fundamentals in OpenCV; the OpenCV basics for face detection and video capture and processing in OpenCV; the Haar cascade, working with XML Haar cascade files and how OpenCV uses Haar features for face detection, strengths and limitations of Haar cascade; and accessing OpenCV’s built-in Haar cascade XML files, detecting faces in a static image, drawing bounding boxes around detected faces and tuning detection parameters for better accuracy.
Further, the course will also discuss the real-time face detection using Haar cascades, detecting facial features using Haar cascade and performance optimization in Haar-based face detection; the limitations of Haar cascades in face detection and deep learning for face detection; installing and loading OpenCV’s DNN face detector and real-time face detection with deep learning models; the facial landmarks and feature detection and comparing different face detection techniques; and the face tracking with OpenCV and AI-based face detection using deep learning models.
During this interactive course, participants will learn the face detection in low-resolution and noisy images, face detection with mask and occlusions and AI-based real-time face detection optimization; using face detection for real-time security monitoring and AI-based intruder detection with face recognition; the facial feature extraction for biometric security and face detection models in smart CCTV systems; the face detection in attendance and access control systems and cloud and mobile applications; and the ethical and privacy concerns in face detection.
link to course overview PDF
TRAINING METHODOLOGY
This interactive training course includes the following training methodologies:
LecturesPractical Workshops & Work Presentations
Hands-on Practical Exercises & Case Studies
Simulators (Hardware & Software) & Videos
In an unlikely event, the course instructor may modify the above training methodology for technical reasons.
VIRTUAL TRAINING (IF APPLICABLE)
If this course is delivered online as a Virtual Training, the following limitations will be applicable:
Certificates | : | Only soft copy certificates will be issued |
Training Materials | : | Only soft copy materials will be issued |
Training Methodology | : | 80% theory, 20% practical |
Training Program | : | 4 hours per day, from 09:30 to 13:30 |
RELATED COURSES

IT0036 : Big Data & AI
- Date: Jun 23 - Jun 27 / 3 Days
- Location: Abu Dhabi, UAE
- Course Details Register

IT0037 : Machine Translation
- Date: Jul 06 - Jul 10 / 3 Days
- Location: Dubai, UAE
- Course Details Register

IT0019 : How to Build Your Own Chatbot Using Python
- Date: Jun 30 - Jul 04 / 3 Days
- Location: Abu Dhabi, UAE
- Course Details Register

IT0016 : AI Natural Language Processing
- Date: Jun 15 - Jun 19 / 3 Days
- Location: Dubai, UAE
- Course Details Register