Study and Development of Real Time Smart Garage System

The purpose of this project is to create a clever control for the garage system that will improve the security and functionality of residential garages by implementing safer authentication methods such as fingerprint and face recognition. This study combines a microcontroller with a local database, a cloud database, a fingerprint sensor, a camera, and a machine learning accelerator. In addition, the system has a motor, a power supply module, an emergency button, and the smart garage IoT application. As a result of this research, a clever control for the garage system with a mini computer as the control center can be developed. It incorporates cutting-edge technology like fingerprint and face recognition. By limiting access to just those who have registered, this technology not only improves home garage security but also makes it simple to use using a smartphone application. In the age of smart cities, this system's real-time monitoring and remote control capabilities through the smart garage IoT application make it very applicable and provide useful answers to problems related to home automation and security. The garage control's extensible capacity and cutting-edge technologies can greatly enhance house residents' safety and quality of life.