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

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2021-01-06
Learners

No Information
Duration

No Information
Instructor

Moses G AkomolafeCosmas

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3.6

6,964 Ratings

This course provides 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. Learners will gain an understanding of project setup, image filters, shape and face detection, camera and picture validation, background detection, and user interface design. Additionally, learners will gain insight into different use cases of the learning outcomes for desktop applications, web solutions, and service-oriented architecture. Click this course to master facial recognition in .NET/C# using Aforge and Accord.

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

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

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.

Course Syllabus

Introduction

Environment Setup

Face Detection

Live Capture

Image Effects

Passport Validation

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