Computer Vision Bootcamp: Build Face Recognition with OpenCV

Learn how to build facial recognition, emotion detection, age detection, and eye tracking system using OpenCV & Keras

4.17 (3 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Computer Vision Bootcamp: Build Face Recognition with OpenCV
3,004
students
3 hours
content
Mar 2024
last update
$54.99
regular price

What you will learn

Learn how to build facial recognition system using OpenCV

Learn how to build emotion detection system using OpenCV

Learn how to build age detection system using OpenCV

Learn how to build eye tracking system using OpenCV

Learn how to create access management and identity verification system

Learn how to create training data for facial recognition system

Learn how to create function to load images from training data folder

Learn how to activate camera using OpenCV

Learn how to train emotion detection model using Keras

Learn how facial recognition systems work. This section will cover data collection, data preprocessing, model training, scanning face, and feature extraction

Learn the basics fundamentals of facial recognition technology, such as getting to know its use cases, technologies used, and limitations

Learn how to draw rectangle around face

Why take this course?

πŸš€ **Computer Vision Bootcamp: Build Face Recognition with OpenCV** πŸš€ Are you ready to dive into the world of Computer Vision and master the art of facial recognition, emotion detection, age estimation, and eye tracking? Join Christ Raharjaca on this **Computer Vision Bootcamp** where you'll transform data into vision with OpenCV! πŸŽ“ **What You'll Learn:** **Course Overview:** - 🧬 **Fundamentals of Facial Recognition:** Understand the applications, technologies, and limitations that define this cutting-edge field. - πŸ€– **Facial Recognition Technology Deep Dive:** Explore the process from data collection to access management, including data preprocessing, model training, and face recognition techniques. **Hands-On Projects:** 1. **Face Recognition for Identity Verification:** - Prepare and label your datasets (name, photo, age, gender). - Train a facial recognition model to verify identities based on facial features. - Implement real-time access control, granting or denying entry accordingly. 2. **Emotion Detection System:** - Utilize a Kaggle dataset to train a model that can detect various emotions and facial expressions. - Apply OpenCV to build an emotion detection system capable of interpreting human sentiments. 3. **Age Detection System:** - Use images across different age groups from a provided dataset to train an age prediction model. - Learn how to estimate someone's age through their facial features using OpenCV. 4. **Eye Tracking System:** - Develop an eye tracking system to monitor student gaze patterns during online exams. - Implement a model that can notify teachers of suspicious behavior, enhancing academic integrity in the digital realm. **Why Build Facial Recognition Systems?** Facial recognition is not just about identifying people; it's a cornerstone for security and identity verification across various sectors, including banking, government, and corporate environments. It offers a robust means of access control, ensuring the protection of sensitive areas and information. In the digital world, facial recognition acts as a shield against unauthorized access to online accounts and transactions, providing a secure and convenient authentication process. **Skills You'll Acquire:** - Master the basics of OpenCV for camera activation and image processing. - Develop skills in feature extraction and pattern recognition for complex facial recognition systems. - Train models using Keras for emotion detection. - Create an age estimation system with OpenCV. - Implement an eye tracking system to monitor and analyze gaze patterns. - Gain a comprehensive understanding of data collection, preprocessing, model training, and access management within facial recognition systems. πŸš€ **Embark on your journey into the future of Computer Vision today!** πŸš€ With this comprehensive course, you'll not only understand the core concepts behind computer vision but also apply them to build real-world applications using OpenCV. Whether you're a developer looking to expand your skill set or an enthusiast eager to explore the potentials of AI in image processing, this course is designed to equip you with practical knowledge and hands-on experience. Join us on this exciting journey into the realm of Computer Vision and be at the forefront of technological innovation! 🌟

Screenshots

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5887124
udemy ID
3/23/2024
course created date
3/26/2024
course indexed date
Angelcrc Seven
course submited by