Description
Hello, and welcome to this exciting course. In this course, you will learn to integrate Face Recognition Models in Flutter apps with bothImagesLive Camera FootageFace recognition is the process of identifying people using their faces, and in today's world, it is being used for countless purposes. Like Security agencies use it to identify and track criminals. Companies use it to monitor their employeesEducational institutes use it for marking attendanceand so on. So in this course, you will learn to integrate different face recognition models in Flutter App Development to build smart and powerful applications for both Android & IOS. Course CurriculumWe will start by learning the basics that how a face recognition model works. So in a face recognition system, there are mainly two partsFace RegistrationFace RecognitionFace RegistrationSo in face registration, we register the faces so that we can recognize them later. So just like the face unlock feature of your mobile phone firstly we need to register faces so that we can recognize them later. So in this part, we ask the user to scan the face using either images or live camera footage. Once the scan is completed we ask the user to assign a name to that face and we will store that face along with that name in the database. Face RecognitionAnd in the face recognition part, we recognize those registered faces. So in this part, once the user scans his face we compare that face with our registered faces using face recognition models. And where the difference between two faces is minimum we consider that registered face as our recognition. Choosing or Capturing Images in FlutterAfter that, we will learn to Choose Images from Gallery in FlutterCapture Images using Camera in FlutterAnd we will learn that because later we need to pass these images to our face recognition models to register and recognize faces inside our Flutter Application. Face Recognition With Images in FlutterIn this section, we will start building our first face recognition application in Flutter. So we are going to build an application where users can Register facesRecognize facesby using images from a gallery or camera. And in this application, we will use two different models for performing face recognition in Flutter. And those models areFaceNet ModelMobile FaceNet ModelRealtime Face RecognitionAfter performing face recognition with images and understanding the integration of face recognition models in Flutter we will build a real-time face recognition application in Flutter. So we will register and recognize the faces using frames of live camera footage. So we willDisplay the live camera footage in FlutterGet the frames of live camera footage one by onePass those frames to our face recognition model Recognize and register the faces in real timeTensorflow LiteTo perform face recognition in Flutter apps we will use the models which are in Tensorflow lite format. TensorFlow lite is the proper format for using Machine Learning models in mobile applications. So during this course, we will also learn about this library. So after completing this courseYou will be able to integrate Face Recognition models in Flutter with both Images & the live camera footageYou can integrate Face Recognition based authentication in Flutter ApplicationsYou can build fully functional Face Recognition based security & attendance systems in Flutter. So in short this course is a complete cookbook for performing face recognition in Flutter app development. So what are you waiting for? Join the course now and learn the skill which matters the most.
