Attendance Detection System using Bluetooth Low Energy Based on ESP32 with Realtime Monitoring Through Website

Manual attendance recording is susceptible to issues like data manipulation and human error. In such systems, employees fill out attendance sheets or books, and managers oversee their accuracy. To address these problems, there have been numerous proposed systems to automate the attendance detection systems that are based on biometric devices, RFID cards, face recognition, mobile applications among other technologies. Moreover, using fingerprint for attendance system will make a long queue and the hygiene cannot be guaranteed. In this study, we developed an automatic and contactless attendance detection utilizing Bluetooth Low Energy (BLE) features with the ESP32 to create an iBeacon. In addition to facilitate real-time attendance recording and monitoring, we are using a website with Message Queuing Telemetry Transport (MQTT) as standard messaging protocol for the Internet of Things (IoT). The system includes two types of devices: the first type is a beacon, carried by each individual and equipped with an AS608 optical fingerprint sensor for biometric authentication, and the second type receives and reads broadcast messages from the beacon, sending them to a web server using XAMPP localhost. Test results indicate that the system can detect individual employee presence up to 4 meters and display the attendance detection result through a website.