বায়োমেট্রিক এটেনডেন্স || IoT Based Finger Print Attendance System with Google Sheet ||

জবের পাশাপাশি B.Sc. or M.Sc. in Engineering Study করছেন? গ্রুপের সবাই Final Year প্রজেক্টের জন্য সম্মিলিত ভাবে সময় বের করতে পারছেন নাহ? "কম খরচে" এবং "কম সময়ে" আপনার প্রয়োজনীয় প্রজেক্ট টি পেতে চান? আপনাদের জন্যই কাজ করছে "#Engineers_Butty_Lab_BD" আপনার প্রয়োজনীয় প্রজেক্ট, থিসিস বুক , প্রেজেন্টেশন স্লাইড পেতে যোগাযোগ করুন। Google_Map: "Engineer's Butty Lab" Facebook: "Engineer's Butty Lab BD" ( Link:   / engineersbuttylab9  ) YouTube : "Engineer's Butty Lab" (Link:    / @engineersbuttylab811   ) Phone: 01888-011500 (What's app) Adress: Syed Villa, Jobbar Housing, Mazar Road, Mirpur -1, Dhaka. আমরা কি ধরনের প্রজেক্ট করি? Arduino Based Project ESP8266 based Project GSM Based Project Robotic Project Solar Based Project IoT based Project Drone Project মোটকথা আপনার যা প্রয়োজন পেয়ে যাবেন আমাদের থেকে। বি.দ্র: (বিকাশ-নগদ-রকেট) এর মাধ্যমে ৭৫% এডভান্স পেমেন্ট করলে বাংলাদেশের যে কোনো জেলায় হোম ডেলিভারি পেয়ে যাবেন! Introduction: In today's fast-paced world, the integration of technology into everyday tasks has become essential. One such innovation is the IoT-Based Fingerprint Attendance System. This system leverages the power of the Internet of Things (IoT) to streamline attendance management in educational institutions, offices, and other organizations. By utilizing biometric technology, the system ensures accurate and secure attendance tracking, eliminating the chances of proxy attendance and manual errors. Components Overview: R307 Fingerprint Sensor: The R307 is a widely used fingerprint sensor that captures fingerprint images and converts them into digital templates. It is known for its high accuracy, reliability, and fast processing. The sensor can store multiple fingerprints and allows easy enrollment and verification of users. NodeMCU (ESP8266): The NodeMCU is a popular IoT platform that integrates a microcontroller with Wi-Fi capabilities, making it ideal for IoT applications. It is responsible for processing the fingerprint data and communicating with the Google Sheets via Wi-Fi. OLED Display (SSD1306): The OLED display provides a visual interface for the system, displaying user identification, attendance status, and other relevant information. The SSD1306 is a compact and energy-efficient display module that is easy to interface with the NodeMCU. Google Sheets: Google Sheets acts as the central database for the attendance records. The NodeMCU communicates with Google Sheets using a Google Script, logging the attendance data such as user ID, time of entry, and exit. System Workflow: Fingerprint Enrollment: Users first need to enroll their fingerprints into the system. Each fingerprint is assigned a unique ID, which is stored in the R307 sensor's memory. Attendance Marking: When a user scans their fingerprint, the R307 sensor verifies it against the stored templates. If a match is found, the user's ID is sent to the NodeMCU, which logs the attendance data to Google Sheets. Data Logging: The NodeMCU communicates with Google Sheets through Wi-Fi. A Google Script is used to handle the data entry, where each user's attendance is recorded with the exact date and time. Visual Feedback: The OLED display provides immediate feedback to the user, showing whether the fingerprint was successfully recognized and whether the attendance was marked. Applications and Benefits: Real-time Attendance Tracking: The system allows for real-time tracking of attendance, accessible from anywhere via Google Sheets. Enhanced Security: Using biometric identification ensures that only authorized users can mark their attendance, reducing the risk of fraudulent entries. Automated Record-Keeping: The integration with Google Sheets automates the record-keeping process, reducing administrative workload and minimizing errors. Scalability: The system can be easily scaled to handle a large number of users and is suitable for various environments such as schools, universities, offices, and factories. In conclusion, the IoT-Based Fingerprint Attendance System with Google Sheets, powered by the R307 fingerprint sensor, NodeMCU, and OLED display, provides an efficient, secure, and scalable solution for modern attendance management needs.