A smart identification system based on computer vision for supporting hotel check-in process

Citizen ID card verification is critical across various sectors, including banking, access control, product pickups, and hotel check-ins. However, the traditional manual registration process is time-consuming and error-prone. Moreover, the prevalence of mask usage during the COVID-19 pandemic presents challenges for face recognitionsystems, leading to potential inconveniences and delays. To address these concerns, this study introduces two advanced models: Optical Character Recognition (OCR) and face-mask recognition. The OCR model accurately extracts information from ID cards and automatically populates the registration form, while the face-mask recognition model improves face-recognition accuracy, even with individuals wearing masks.By implementing these models, check-in procedures can be streamlined, aiming toenhance efficiency, data accuracy, and potentially improve customer satisfaction.