Welcome to an exciting tutorial on creating a Face Recognition Based Attendance System using the power of deep learning, the dlib library, and Raspberry Pi! In this video, we'll guide you through the process of building a robust attendance tracking system.
GitHub Repository: https://github.com/Arijit1080/FaceRe...
Research Paper URL: https://arxiv.org/abs/1503.03832
What you'll learn:
1. How to set up your Raspberry Pi for face recognition.
2. Using the dlib library for face detection and recognition.
3. Implementing a deep learningbased face recognition algorithm.
4. Creating a database to store attendance records.
5. Developing a Flask web application for realtime attendance tracking.
6. Enrolling new faces into the system for recognition.
For future updates follow us on facebook: / sparklers2018
You can also follow me on instagram for regular updates : / ari_the_maker
#Technology #Innovation #AI #ArtificialIntelligence #MachineLearning #DeepLearning #Coding #Programming #DataScience #ComputerScience #RaspberryPi #FaceRecognition #AttendanceSystem #Database #WebDevelopment #Flask #Python #OpenCV #FacialRecognition #Tutorial #GitHub #Education #Project #Students #Learning #Development #TechSolutions #Automation #InnovativeTech #CodeSnippets #DeepNeuralNetworks #ComputerVision #ProgrammingLanguages #DataAnalysis #InnovateWithAI #TechSkills #IoT #SmartTechnology #DigitalTransformation #CodingCommunity #WebApp #AttendanceTracking #FacialRecognitionSystem #DataManagement #StudentProjects #InnovativeSolutions #ArtificialIntelligenceProjects #TechEnthusiast #CodeWithPassion #StayCurious