Realtime and offline Face Recognition app using Google ML Kit FaceNet ML Android app

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Face recognition is a powerful tool that uses biometric data to identify or verify a person's identity. It works by analyzing unique facial features such as the distance between the eyes, nose, and mouth. • Here, we implement face recognition using Google MLKit and TensorFlow Lite model of FaceNet. • Code: https://github.com/iago001/MLSeriesDe... • Reference: / real-time-face-recognition-with-android-te... • There are two main types of face recognition: 1:1 and 1:N. 1:1 face recognition compares a single face to a single stored reference, often used for unlocking devices or secure access. 1:N face recognition compares a single face to a database of many faces, used for identity verification and tagging people in photos. • The technology behind face recognition has come a long way in recent years and is now more accurate and reliable than ever before. It can be used in a variety of settings, such as security systems, mobile apps, and social media platforms. • Face detection and face recognition are both related to processing and analyzing faces in images or videos, but they are different in their purpose and functionality. • Face detection is the process of identifying and locating faces in an image or video. It is used to detect whether or not there is a face present in a given image and, if so, where it is located. It typically returns bounding boxes around any detected faces. • Face recognition, on the other hand, is the process of identifying a specific person based on their facial features. It compares a given face to a database of known faces and returns a match, along with a confidence score indicating how likely it is that the match is correct. It is used for identifying a person or verifying a person's identity. • In summary, face detection finds faces in an image, while face recognition identifies who those faces belong to. • #facerecognition • #facialrecognition • #biometricsecurity • #faceprint • #identityverification • #facialidentification • #facialauthentication • #faceid • #facialscan • #faceverification • Android Job Preparation playlist: • Android Job Interview Process | Prepa... • ML Use cases playlist: • Machine learning Use cases on Android... • Android Basics course using Kotlin: • Android Kotlin Basics Course • Discord channel for doubts: / discord • Follow us for updates here: • The Mobile Dev YouTube Channel / @themobiledev • The Mobile Dev - Twitter • / themobile_dev • #FaceRecognition #FacialRecognition #BiometricSecurity #FacePrint #IdentityVerification #FacialIdentification #FacialAuthentication #FaceID #FacialScan #FaceVerification #MachineLearning #ComputerVision #AI #FacialDetection #FaceTracking #FaceAnalysis #SecurityTechnology #SmartSecurity #SmartCameras #AccessControl #Surveillance #Privacy #FacialRecognitionTechnology

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