Master Facial Recognition in NET&C# using Aforge&Accord

Course Overview

This course provides learners with a comprehensive guide to mastering facial recognition in .NET/C# using Aforge and Accord. It offers a step-by-step approach to learning, with detailed audio and visual presentations, and provides learners with the knowledge to design and develop other types of object/shape detection. Through this course, learners will gain an understanding of project setup and the inclusion of external libraries in Visual Studio, the basics of object detection with Accord and Aforge libraries, the use of various image filters with Accord and Aforge libraries, how to detect different shapes and particular faces using .NET/C#, how to detect the connected camera and take a picture from .NET/C#, how to validate the quality of the required passport photograph, background detection and validation, desktop application user interface design, and how to package code as a class library for reusability purposes. Additionally, learners will gain insight into different use cases of the learning outcomes for desktop applications, web solutions, and service-oriented architecture in the cloud or on-prem environment.