Advanced Manufacturing Process Development for Automation in the Industry using Artificial Intelligence-Based System

• Published in: 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) pp. 955 - 958
• Main Authors: Kumaravel, D., Tomar, Prashant, Tulanovna, Kodirova Dilshodkhan, Sharma, Sushant, Pawar, Krupal Prabhakar, Patil, Pravin P
• Format: Conference Proceeding
• Language: English
• Published: IEEE 12-05-2023
• Subjects: and fixed-point pictures; Artificial Intelligence; Barcode; Face recognition; Fingerprint recognition; Industries; Manuals; Manufacturing processes; RABA; RFID; Robot kinematics
• DOI: 10.1109/ICACITE57410.2023.10182568

The record of answer books and attendance (RABA) in any examination system is an unexplained but necessary component of educational institutions to register the presence and trace the unique number of answer sheets of a certain applicant. Manually writing in the RABA of pupils traditionally is time-consuming, difficult to manage, and prone to human mistakes. To address these issues, an AI-based system with facial recognition and a fingerprint-based biometric system of digital RABA is presented. In this work, an automated system for face recognition and fingerprint identification using biometrics is proposed, and the answer sheet barcode is subsequently scanned for RABA input using a camera module. Finally, all of these records are stored in a database and may be retrieved at any moment by the institution of the university. This approach provides a faster and more precise means of avoiding proxy attendance.