Deep Learning and Internet of Things for Intelligent Reservation and Gate Control

In many this paper introduces an innovative, fully automated smart control system designed for the efficient management of security gates and parking areas, catering to the needs of institutions and their entrants. The proposed system harnesses the power of Internet of Things (IoT) technology to streamline the visitor experience by facilitating online appointment reservations. The proposed system can recognize employees from visitors and send barcodes to the visitors’ emails. It offers a robust solution for visitor identification at the institute’s entrance while meticulously archiving input and output data for future reference. In addition, enables automatic car parking areas as well as reduces the expenditures of any institute that wishes to have such a service on board. The learning algorithms underpinning this system have been rigorously tested, and the results from the prototype phase unequivocally demonstrate the system’s exceptional capabilities in effectively managing security traffic gates and visitor reservations. This paper serves as a testament to the promising synergy between IoT and DL, illustrating its potential to revolutionize access control systems and set new benchmarks for security and efficiency in diverse institutional settings.