About
This course provides an in-depth exploration of facial recognition technology, covering fundamental concepts, technical aspects, and advanced applications. Learners will gain a thorough understanding of how facial recognition systems work, the algorithms behind them, ethical considerations, and practical implementation. By the end of the course, participants will be equipped with the knowledge and skills to develop and deploy facial recognition solutions. Table of contents Chapter 1: Introduction to Facial Recognition Technology Chapter 2: Basics of Image Processing Chapter 3: Understanding Facial Features Chapter 4: Introduction to Machine Learning Chapter 5: Facial Recognition Algorithms Chapter 6: Deep Learning for Facial Recognition Chapter 7: Data Collection and Preparation Chapter 8: Building a Facial Recognition System Chapter 9: Performance Evaluation Chapter 10: Ethical Considerations Chapter 11: Real-World Applications Chapter 12: Challenges and Limitations Chapter 13: Advanced Techniques Chapter 14: Integration with Other Technologies Chapter 15: Case Studies Chapter 16: Security and Privacy Measures Chapter 17: Facial Recognition in Mobile Devices Chapter 18: Facial Recognition in Healthcare Chapter 19: Legal and Social Implications Chapter 20: Future Directions