The AI Access Control System is a cutting-edge system that automatically triggers a warning function when an intruder is detected. This system performs visitor detection through IOT sensors, and for this purpose, a sound detection sensor and a buzzer sensor were fused, and a code to control them was developed.
The code was developed and applied in the Visual Studio Code (VSCode) environment for efficient communication between the board and sensors. In addition, we provide real-time data collection and control functions through the web and app to enable remote control and monitoring of the system.
For data collection and analysis, real-time data was collected, analyzed, and trained using the supercomputer H100. This optimized system performance and improved user experience.
Ultimately, these technologies and functions enabled the system to be remotely monitored and controlled through the web and app, enabling commercialization and real-time use.