Develeopment of smart attendance system with Raspberry Pi and mobile application

Noor Zaidi, Nur Fatihah (2020) Develeopment of smart attendance system with Raspberry Pi and mobile application. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Attendance system is a system that is used to track the attendance of person and applied in the industry, school, university or workplaces. The traditional way of taking attendance has disadvantage, which is the data of the attendance list cannot be reuse and tracing student’s attendance is harder. However, this system is very weak because some student might take for granted by signing others attendance and they can forge a friend’s signature who actually absent during classes. By taking students number and names who present during class is actually takes time and costs a lot of faculty time. This method is not efficient and this method should be replaced by fewer consuming methods time. Therefore, the technology-based attendance system such as sensors and biometrics-based attendance system can reduced human errors. Fingerprint identification is the most popular method of obtaining information about any person and it is the easier way of identifying the person. In this report, will explain the methods to face this problem that happens in every institutes. By using Raspberry Pi, it will transfer the information or data while the hardware fingerprint modules connected to it. The system will use the fingerprint identification modules to register the attendance specially. After the system record the attendance, it will send data to the database and this data will be fetched on the web application. While mobile app will send the notification to the parents as the evidence of student’s attendance. As the result, the status attendance of the students is recorded in the database and parents will get the notification through mobile application when their child is absent. In this project, the propose system is compare by improving the mobile application from the previous work. The parents will get the notification of the status attendance for their child through mobile phone. The results for fingerprint sensor has the average accuracy which is 80.57%. As a conclusion, technology-based attendance system increases the efficiency in recording attendance and provide more convenient for the users.

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