Other option is to revert to version 1.0.2 of the arduino core. Introduction. Introduction. The database system is deployed in the Xampp local server installed on the Raspberry Pi. We can add purchased and Sale furniture data and also maintain that data like an sea... neeta_kadam 2019-04-26 Regards. It is one of the most popular open cv projects in 2022. IoT (Raspberry PI) -Integration and Automation : Seamless communication to exchange processed information to the enterprise systems in real time or in stipulated frequency. The FaceNet system can be used broadly thanks to multiple third-party … Battery Powered Attendance system using Face Recognition on ESP32-CAM Board . Disadvantages: Figure 5: The `A1 Expand Filesystem` menu item allows you to expand the filesystem on your microSD card containing the Raspberry Pi Buster operating system. attendance monitoring system using Raspberry pi are also explained. The face database is collected to recognize the faces of the students. Using the Raspberry Pi and some additional peripherals, we have designed and built a face recognition system. In this system there is a camera which will detect the faces presented before it and if shown one face at a time, it will track that face such that that face is centered in front of the camera. ), Andhra Pradesh. But you can use any model of raspberry and any brand SoC or Practically any computer. First system, auto attendance using face recognition (By Mahvish), in this project the admin selects a camera to capture, gather and save photos to database or a folder. 4. Eigen faces algorithm is used for face detection and recognition technology. 1: Circuit diagram of the fingerprint door unlock system. The project carried out with the help of the resources and links mentioned below -. F.R.A.S! Also you can modified this system as per your requriments and develop a perfect advance level project. 50,371 views; ... A Home Automation system using a Raspberry Pi 2 and Windows 10 IoT Core including an App. Existing system: Colleges and schools use attendance books as proof for knowing if teachers are attending schools or colleges regularly based on this data employee’s salaries and other factors are calculated. Existing system: Colleges and schools use attendance books as proof for knowing if teachers are attending schools or colleges regularly based on this data employee’s salaries and other factors are calculated. FACE RECOGNITION BASED ATTENDANCE MANAGEMENT SYSTEM WITH RASPBERRY PI 2 USING EIGEN FACES ALGORITHM Sarath Chandu Gaddam 1, N. V. K. Ramesh 2 and Hema dhanekula 1 1Embedded Systems, K L University, Andhra Pradesh, India 2Electronics and Computers Engineering, K L University, Andhra Pradesh , India E-Mail: … In this project, a system based on CNN is proposed that can recognize the image of fruit, predicts its calories. Project showcase by Shubham Santosh. The system automatically records the date in the right excel sheet. Disadvantages: The system automatically records the date in the right excel sheet. ... Face Tracker Using OpenCV and Arduino. Due to this, a 12V adapter is used to power the Solenoid Lock. Throughout this project, we will be showing you will learn how to put together a circuit that makes use of both the RFID RC522 reader and a 16×2 LCD. Face detection and generated and stored in default folder. So this is how the ESP32-CAM can be used to build a face recognition based security system. Features in this system: Update , delete modify records of cases and complaints given by citizens. The FaceNet system can be used broadly thanks to multiple third-party … (Refer Fig 8.) The "Face recognition attendance system" is a hardware prototype of a face recognition attendance system. Touchless Attendance. In the framework, a Raspberry Pi with OpenCV library and a Raspberry Pi camera module are associated for face identification and acknowledgment. Project title given Face Recognition based attendance system using Raspberry Pi which will identify face with its unique feature. 1: Circuit diagram of the fingerprint door unlock system. 4). Ltd grows exponentially through its research in technology. P Roja Kamala, Dr. D. Ravi Krishna Reddy Gudlavalleru Engineering College, Gudlavalleru, Krishna (Dist. Full Fledged Attendance system which will prompt a free message on user mobile when his attendance will be marked using RFID Tag. Sort API Labels Function Django Websocket Asyncio Xarray Raspberry Pi FastAPI Excel Server Date and Time Caching Logging Fonts Calendar Editor RESTful API PDF Color Animation Email Keyboard DevOps Tools HTTP CMS Tree Emojis Pytest Input Validation Math Functional Parser. Intermediate Full instructions provided 2 hours 5,336 Things used in this project Story I will be using Raspberry Pi Model 3 B+. Circuit diagram for Face Recognition Door Lock using Raspberry Pi is given below. Face recognition is a highly efficient and an accurate tool in enhancing security. With nano devices such as Raspberry Pi and Raspberry Pi night vision cameras, lecturers record student attendance to class with face-to-face identification systems. It will also determine if it is a known face displaying Unknown if it is not a known face and the name of the person … On the server side, an application was also developed in PHP language for communication with the Android smartphone and the Raspberry Pi. Generation of Image Caption with Deep Learning First, we need to import the required libraries like serial, cv2, espeak (optional), face_recognition, numpy in our code. ... etc. Then we can proceed to install OpenCV 4. Integrates with CRM, SAP seemless updation for attendance to the local system. Before we can apply face recognition we first need to gather our dataset of example images we want to recognize. It takes several attempts to save the face. Uface 302 eSSL is a touchless Attendance System IN & OUT Data On-premises as well as on Cloud. This is simple and basic level small project for learning purpose. If you are familiar with database and wish to setup different SQL Server, you can as long as you change the user id, password in the script. Thanks to Dr.Jabber. Fastest and most accurate face attendance detection. Managing department salary, attendance and other details under paryroll and attendance management system. In this project, it uses facial recognition by performing two fundamental tasks of recognition & confirmation of person. FACE RECOGNITION BASED ATTENDANCE SYSTEM USING RASPBERRY PI Shaik Reshma1, V. Phani Bhushan2 1PG Scholar, Dept. Face recognition system is widely used for human identification due to its capability to measure and subsequently identifies human identification. Fig 8. Abstract: The embedded system performs some of the image processing tasks and sends the processed data to a PC. Raspberry Pi Camera Module V2 attached to Raspberry Pi3 and it is placed where the people enter the office. A face mask detection dataset consists of with mask and without mask images , we are going to use OpenCV to do real-time face detection from a live stream via our webcam. Started in 2012 NevonProjects an initiative by NevonSolutions Pvt. Face Recognition System Attendance System using Raspberry Pi Evanjalin A.B. Aug 17, 2021. The brain of the circuit is Arduino Uno MCU board (BOARD1). You can then edit the facerec_on_raspberry_pi.py script to use those files instead. This page consists of a list of the latest electronics and communication projects ideas that can help students in their final year of project preparations. Integration of leading Telecom PBX systems. These projects are designed to help students score well in their final year electronics engineering courses. The proposed system is used to estimate and detect the fruit calories using Raspberry pi and CNN. Contributing Guidelines.md. No Longer Maintained - About to be rewritten. Regards. Face Recognition as Security for Door Accessing using Raspberry Pi. Raspberry Pi files. Face-Recognition-Attendance-system. the attendance will directly stores in storage device like pen drive that is connected to one of the USB port of raspberry pi 2. So this is how the ESP32-CAM can be used to build a face recognition based security system. That said, just comment it out and it should compile and work perfectly either if you are using the Arduino IDE. Face recognition is a computer vision task of identifying and verifying a person based on a photograph of their face. Figure 5: The `A1 Expand Filesystem` menu item allows you to expand the filesystem on your microSD card containing the Raspberry Pi Buster operating system. Other option is to revert to version 1.0.2 of the arduino core. This project describes an efficient algorithm using open source image processing framework known as OpenCV. I use Python face_recognition library for face detecting and recognition. After saving the face, it detects the face as subject 0 where zero is the face number. The idea of this portable face recognition system was pioneered to replace the conventionalpaper-based attendance system in universities. Figure 2: Beginning with capturing input frames from our Raspberry Pi, our workflow consists of detecting faces, computing embeddings, and comparing the vector to the database via a voting method. In this project, it uses facial recognition by performing two fundamental tasks of recognition & confirmation of person. Update criminal bio data to centralized database which is visible to different departments. Initial commit. V.1. This system has already been implemented by the Zoom app. Project showcase by Shubham Santosh. V.1. 2 1 Assistant Professor, 2 ECE Final Year Students, 1,2 Stella Mary’s College of Engineering, India. Features in this system: Update , delete modify records of cases and complaints given by citizens. Step 8: Face Detection. For facial recognition purposes, we install the OpenCV, face_recognition and imutils packages on the Raspberry Pi to train the platform based on the images used as a dataset. PC-Based GPS Receiver; ESP32 (Non-Standard) GPS Receiver; Designing FM Receiver Using GNU Radio and RTL-SDR Dongle; Aircraft Signal Receiver Using RTL-SDR and DUMP1090; RF-Based 12-Bit Signal … Sort API Labels Function Django Websocket Asyncio Xarray Raspberry Pi FastAPI Excel Server Date and Time Caching Logging Fonts Calendar Editor RESTful API PDF Color Animation Email Keyboard DevOps Tools HTTP CMS Tree Emojis Pytest Input Validation Math Functional Parser. algorithm is less time taken and high effective than other algorithms like viola-jones algorithm etc. Usually, the attendance process in schools and colleges can be done by professors & stores the data in registers. NFC Based Mobile Attendance System with Facial Authorization on Raspberry Pi and Cloud Server Siti Ummi Masruroh Andrew Fiade Imelda Ristanti Julia. Attendance System Using Arduino and RFID with Python. Project showcase by Shubham Santosh. Furniture Store Management System project in VB 0. Face Tracker Using OpenCV and Arduino. Project showcase by Shubham Santosh. In this Furniture store management system we can add furniture product details like name, type of furniture and price. This Face Recognition system is the machine learning project which identifies registered persons face automatically. This system has already been implemented by the Zoom app. Fruit detection & Estimation of Calorie with Raspberry Pi. Chart -1: Face recognition based attendance monitoring Digital Journal is a digital media news network with thousands of Digital Journalists in 200 countries around the world. If you want more latest Python projects here. In the proposed system, Eigen-face algorithm is used because Eigen-face algorithm is less wastage of time and more effective than other algorithms. Real Time Face Attendance System is a open source you can Download zip and edit as per you need. After enrolling the faces, if a face is recognized in the video feed, ESP32 will make the relay module high to unlock the door. Step 6: install Numpy. Project 7: Face and Voice Recognition for the visually Impaired. Real Time Face Attendance System is a open source you can Download zip and edit as per you need. The second program is the Recognizer program which detects a face and then uses this YML file to recognize the face and mention the person name. This can be used for an automatic attendance register, a raspberry pi is running the python script to demonstrate door opening and closing using a DC motor. Usually, the attendance process in schools and colleges can be done by professors & stores the data in registers. The "Face recognition attendance system" is a hardware prototype of a face recognition attendance system. This project is developed using Rasberry pi, RPI camera , OpenCV and Python coding. It is based on ATmega328/ATmega328P and has 14 digital input/output (I/O) pins, six analogue inputs, 32k flash memory, 16MHz crystal oscillator, a USB connection, power jack, ICSP header and reset button, among others. Fig. In this project, a system based on CNN is proposed that can recognize the image of fruit, predicts its calories. Second reason is that you can place your Raspberry Pi anywhere. This is simple and basic level small project for learning purpose. Raspberry Pi and Solenoid Lock are connected through the relay module. The proposed system is used for taking attendance by using face recognition and managing the attendance in suitable environments such as colleges and offices. Track your face using OpenCV's facial recognition. The proposed system is used to design an attendance marking system through MATLAB by detecting a face. 4. Step 9: Saving Data. Project tutorial by Embedotronics ... Control servos/motors connected to an Arduino robot arm kit using a Raspberry Pi, Python, and an Xbox 360 controller. Integration of leading Telecom PBX systems. But most of the teachers are manipulating attendance by signing records and leaving schools and colleges. contribution guildline add. essl Biometric with Face Detection Advanced Face Recognition for contactless attendance […] It is based on ATmega328/ATmega328P and has 14 digital input/output (I/O) pins, six analogue inputs, 32k flash memory, 16MHz crystal oscillator, a USB connection, power jack, ICSP header and reset button, among others. Like all Face Recognition systems, the tutorial will involve two python scripts, one is a Trainer program which will analyze a set of photos of a particular person and create a dataset (YML File). The proposed system is used to estimate and detect the fruit calories using Raspberry pi and CNN. Raspberry Pi files. Join us! Face detection using raspberry pi 4 is a faster image process and its proper identification of a face. Step 11: Face Recognition. OpenCV, dlib, and face_recognition are required for this face recognition method.. We will be using a deep neural network to compute a 128-d vector (i.e., a … Generation of Image Caption with Deep Learning OpenCV, dlib, and face_recognition are required for this face recognition method.. We will be using a deep neural network to compute a 128-d vector (i.e., a … Contributing Guidelines.md. In proposed system face detection based attendance system by image processing using raspberry-pi. Finally, Insights. Track your face using OpenCV's facial recognition. Abstract: In this paper we propose an attendance management system. Face recognition based attendance system using raspberry pi and pi camera with 16x2 LCD. I currently think of two ways to create the system: Using face_recognition and flask to make a web service and then, create a client using web technology with electron or nwjs, show the camera stream using WebRTC and communicate with that service. Join us! Managing department salary, attendance and other details under paryroll and attendance management system. Open CV/ Python … also maintain customer details in this system. The face database is collected to recognize the faces of the students. Raspberry Pi Face Recognition Treasure Box Posted in: How To - DIY - Projects WeatherPiArduino Weather Board Posted in: Interfacing(USB - RS232 - I2c -ISP) Projects Driving a bi-polar stepper motor with the SN754410NE double H … Also you can modified this system as per your requriments and develop a perfect advance level project. Initial commit. Aug 17, 2021. also maintain customer details in this system. Classroom Attendance Using Face Detection and Raspberry Pi. Smart Attendance System. Digital Journal is a digital media news network with thousands of Digital Journalists in 200 countries around the world. contribution guildline add. The system is initially trained with the student`s faces which is collectively known as student database. RFID And Face Recognition-Based Smart Attendance System; Raspberry Pi Based SMS Server; Raspberry Pi server; Communication-based ECE Projects. Facial Recognition based Attendance System Using CNN and Raspberry Pi Abstract: This work aims to present face recognition solution using deep learning based facial recognition algorithm. Our approach has modules – Face Detection, Face Training, Face Recognition and Attendance Database. This project is developed using Rasberry pi, RPI camera , OpenCV and Python coding. FaceNet is a face recognition system developed in 2015 by researchers at Google that achieved then state-of-the-art results on a range of face recognition benchmark datasets. If you want more latest Python projects here. In this video we are going to learn how to perform Facial recognition with high accuracy. The brain of the circuit is Arduino Uno MCU board (BOARD1). Figure 2: Beginning with capturing input frames from our Raspberry Pi, our workflow consists of detecting faces, computing embeddings, and comparing the vector to the database via a voting method. The process of person identification by using face recognition can be split into three main phases. Adjunct membership is for researchers employed by other institutions who collaborate with IDM Members to the extent that some of their own staff and/or postgraduate students may work within the IDM; for 3-year terms, which are renewable. Face detection using raspberry pi 4 is a faster image process and its proper identification of a face. Suggested Citation: Face Tracker Using OpenCV and Arduino. 4). FaceNet is a face recognition system developed in 2015 by researchers at Google that achieved then state-of-the-art results on a range of face recognition benchmark datasets. The students just take a screenshot, select a file, give a date, and upload it. This project is aimed to help visually impaired individuals by converting face input to voice output using a Raspberry Pi 2 Model B and a Raspberry Pi Camera Module. It takes several attempts to save the face. Attendance System Using Arduino and RFID with Python. Sep 2, 2019.gitignore. Integrates with CRM, SAP seemless updation for attendance to the local system. The dl_lib.h is related to the face recognition capabilities 2 (esp-face), and it was removed in version 1.0.3 of the Arduino core. This face recognition [7] based attendance management system with raspberry pi 2 using Eigen faces algorithm is high secured, high efficien t and acc urate. Download Crime Information Management System Project This system is based on face detection and recognition. The system uses user friendly User interface to maximize the user experience while both training and testing which are collecting student images and taking attendance with … Project 7: Face and Voice Recognition for the visually Impaired. In this Raspberry Pi RFID attendance system project, we will be showing you how to set up and program your very own attendance system that makes use of the RC522 RFID reader. The system architecture is shown in Figure 1. Full Fledged Attendance system which will prompt a free message on user mobile when his attendance will be marked using RFID Tag. Sep 2, 2019.gitignore. Figure 1: A face recognition dataset is necessary for building a face encodings file to use with our Python + OpenCV + Raspberry Pi face recognition method. ... Reduce manual process errors by provide automated and a reliable attendance system uses face recognition technology. These projects are designed to help students score well in their final year electronics engineering courses. Using the Raspberry Pi and some additional peripherals, we have designed and built a face recognition system. Once prompted, you should select the first option, “A1 Expand File System”, hit enter on your keyboard, arrow down to the “” button, and then reboot … A face mask detection dataset consists of with mask and without mask images , we are going to use OpenCV to do real-time face detection from a live stream via our webcam. Once prompted, you should select the first option, “A1 Expand File System”, hit enter on your keyboard, arrow down to the “” button, and then reboot … Because face recognition codes use libraries like face_recognition, Opencv(cv2), numpy, imutils..... which cannot be run on ESP32 directly as it is. Project tutorial by Embedotronics ... Control servos/motors connected to an Arduino robot arm kit using a Raspberry Pi, Python, and an Xbox 360 controller. Raspberry Pi is a low-cost mini-computer that has made computing and programming much easier for most people, including students and hobbyists. 5). The Raspberry Pi Camera is searching for faces and when it has been supplied with one it will draw a square box around the face. NFC Based Mobile Attendance System with Facial Authorization on Raspberry Pi and Cloud Server Siti Ummi Masruroh Andrew Fiade Imelda Ristanti Julia. NevonProjects works towards development of research based software, embedded/electronics and mechanical systems for research & development purposes. But most of the teachers are manipulating attendance by signing records and leaving schools and colleges. In this project we are using OpenCv in Raspberry Pi. Aug 29, 2019. Step #1: Gather your faces dataset. This project is aimed to help visually impaired individuals by converting face input to voice output using a Raspberry Pi 2 Model B and a Raspberry Pi Camera Module. Now, we will create a face recognition code for Raspberry that will recognise the face and send it to the Arduino. We can also connect a camera and work with live video streaming. نشكر الله ثم الدكتور جابر على دعمه ورعايته لهذا المشروع. This system is واالله ولي التوفيق. Fig. Update criminal bio data to centralized database which is visible to different departments. CONCLUSION 5.5 Attendance sheet We have to study face detection and recognition After completion of the lecture, attendance sheet is system on Raspberry Pi module. Face recognition is a computer vision task of identifying and verifying a person based on a photograph of their face. In this system there is a camera which will detect the faces presented before it and if shown one face at a time, it will track that face such that that face is centered in front of the camera. After saving the face, it detects the face as subject 0 where zero is the face number. Mainly this project used as attendance system which … And also you can run this script on a system without having to buy or spare a raspberry pi. Solenoid lock requires 9 to 12V, and Raspberry pi can provide only 5V. This interaction can be finished with no manual mediation. LICENSE. Aug 29, 2019. It keeps track of student’s attendance in real-time. Face Recognition based attendance system using Raspberry Pi. 5). This system is cost-effective, convenient for schools or universities or any other institution concerning attendance, friendly user interface and of ease maintenance. The information is put away on a memory card associated with the Raspberry Pi and can be gotten to through the Internet. 1 , Christy D. 2 , Karthika N. 2 & Reshma R.S. PC-Based GPS Receiver; ESP32 (Non-Standard) GPS Receiver; Designing FM Receiver Using GNU Radio and RTL-SDR Dongle; Aircraft Signal Receiver Using RTL-SDR and DUMP1090; RF-Based 12-Bit Signal … Then we can proceed to install OpenCV 4. Ltd grows exponentially through its research in technology. The proposed system is used to design an attendance marking system through MATLAB by detecting a face. Smart Attendance System. This system is implemented by using Python It keeps track of student’s attendance in real-time. Installation of OpenCV (Open source Computer Vision … It is one of the most popular open cv projects in 2022. Step 7: Test The Camera. Abstract: This paper presents development of face recognition for student attendance using Raspberry Pi. Recognition and Attendance Database. NFC Based Mobile Attendance System with Facial Authorization on Raspberry Pi and Cloud Server Siti Ummi Masruroh Andrew Fiade Imelda Ristanti Julia. Battery Powered Attendance system using Face Recognition on ESP32-CAM Board . biometric identification system of face is used to identify daily attendance and Raspberry Pi is applied as manipulating processor. After the collection and saving the process accomplished the training set manager begin to extract faces from the picture by face detection. We have used image processing concept to detect each and every student is present or not. Face recognition Code Here, we will create a face recognition code for marking attendance. That said, just comment it out and it should compile and work perfectly either if you are using the Arduino IDE. Both the programs that we … In this Furniture store management system we can add furniture product details like name, type of furniture and price. Raspberry Pi Face Recognition Treasure Box Posted in: How To - DIY - Projects WeatherPiArduino Weather Board Posted in: Interfacing(USB - RS232 - I2c -ISP) Projects Driving a bi-polar stepper motor with the SN754410NE double H … This system implements the idea of selfie andEigenface algorithm to recognize student The dl_lib.h is related to the face recognition capabilities 2 (esp-face), and it was removed in version 1.0.3 of the Arduino core. NevonProjects works towards development of research based software, embedded/electronics and mechanical systems for research & development purposes. We will use the dataset to build a COVID-19 face mask detector with computer vision using Python, OpenCV, and Tensor Flow and Keras. Adjunct membership is for researchers employed by other institutions who collaborate with IDM Members to the extent that some of their own staff and/or postgraduate students may work within the IDM; for 3-year terms, which are renewable. LICENSE. This page consists of a list of the latest electronics and communication projects ideas that can help students in their final year of project preparations. After enrolling the faces, if a face is recognized in the video feed, ESP32 will make the relay module high to unlock the door. How to Get the System up and Running? Must for COVID-19 compliant offices. Face Recognition Based Attendance System This program monitors the entry & exit of the building and marks the attendance. AUTOMATED FACE RECOGNITION BASED ATTENDANCE SYSTEM USING LBP FACE RECOGNIZER Suyash R. Dhabre1, Rahul S. Pol2 E&TC Dept., VIIT Pune, India1 Assistant Prof. E&TC Dept., VIIT Pune, India2 suyash.218m0008@viit.ac.in, rahul.pol@viit.ac.in Abstract: The Attendance of the students is an important task in class. 50,371 views; ... A Home Automation system using a Raspberry Pi 2 and Windows 10 IoT Core including an App. Facial Recognition Attendance System using Deep Learning with Microsoft FaceAPI, Django and Raspberry Pi-es! the face in real-time using Raspberry Pi. Step 10: Trainer. ... Reduce manual process errors by provide automated and a reliable attendance system uses face recognition technology. We will use the dataset to build a COVID-19 face mask detector with computer vision using Python, OpenCV, and Tensor Flow and Keras. Get the image from the Raspberry Pi camera and face detection from non-face by the “Haar Casecade Classifier” and detect familiar faces and distinguish them from unfamiliar faces (face recognition). RC522 RFID Attendance System Wiring Diagrams 1. With the RFID now wired to our Raspberry Pi, we will need to go into the raspi-config tool to enable the SPI interface. This interface is required so that we can communicate with the RC522 module. To do this, you need to first launch the raspi-config tool by running the following command. 2. Furniture Store Management System project in VB 0. For the face recognition authentication, a computer vision software named OpenCV is used. Fixed CSV Bug. We can add purchased and Sale furniture data and also maintain that data like an sea... neeta_kadam 2019-04-26 You’ve now got a robust prototype of face recognition. Started in 2012 NevonProjects an initiative by NevonSolutions Pvt. Initially when staffs stand in front of the camera, it detects and recognizes that staff’s face and generates attendance to that particular staff. Attach the Raspberry Pi Camera Module. These are registration and normalization, feature extraction and classification are explained in this chapter. On the server side, an application was also developed in PHP language for communication with the Android smartphone and the Raspberry Pi. STEP 1 : Installing MySQL server. Reply Using ESP32 cam for face recognition attendance system in educational institutions ... On some other forums, I was suggested to make use of Raspberry Pi. Fixed CSV Bug. The students just take a screenshot, select a file, give a date, and upload it. This is just the beginning. Be the First to … The final step is to start recognising your own faces. Fruit detection & Estimation of Calorie with Raspberry Pi. RFID And Face Recognition-Based Smart Attendance System; Raspberry Pi Based SMS Server; Raspberry Pi server; Communication-based ECE Projects. Reply IoT (Raspberry PI) -Integration and Automation : Seamless communication to exchange processed information to the enterprise systems in real time or in stipulated frequency. Create a directory and, in it, place some good-quality passport-style photos of yourself or those you want to recognise. The first thing to do is install OpenCV. Download Crime Information Management System Project Before we get writing our attendance system scripts, we need first to install the Python “ MYSQL Connector ” using pip. Install the connector library by running the following command on your Pi. 2. Let’s now create a folder to keep everything for this project. 3. Time to start writing our first Python script for our attendance system.

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