IoT Based Identification And Attendance Monitoring System Using Design Thinking Framework

The outdated study approach is inadequate at tracking employee and student movement, making it difficult for management to manually track attendance and uncover confusing and fraudulent activities. Design Thinking is a unique approach to solve problems that are ill-defined or unknown. CNN and RFID can track student and employee movements. CNN and RFID were suggested to improve management and track interest group activities. RFID and CNN Model were used to improve management and track interest groups. RFID and facial detection are used to verify student attendance. The RFID tags and facial detection technique allow management to track students and employees in and out of campus. An individual without an RFID card or with an unmatched face and ID card will trigger, alerting management and maintaining record of their attendance. This system used wireless networking, a webcam, a database management system, and passive RFID. When the RFID tag passed through the RFID reader in the read range zone, the database system recorded the data. Cameras and RFID readers read the face simultaneously. The software takes photos of all authorized users and stores them in a database. The system then saves the image in a face coordinate structure. This system sends staff and student data to management online for monitoring. Management may easily access student and employee personal records and track their availability. Hence using the five stages of Design Thinking this study impacts employee and student monitoring practices. The project cannot restrict punctuation, but it will assist management monitor attendance, detect fraud,and save time.