Performance Enhancement of IoT-Enabled Advanced ATM Security System

The ESP32 Microcontroller and ESP32-CAM Module-based ATM Theft Detection System is designed to enhance ATM security by detecting and preventing theft in real-time. As the system is being implemented, a vibration sensor, LDR sensor, and gyroscope sensor are used to track the ATM machine for unauthorized movement. If unusual movement is detected, the sensors indicate a potential threat and send signals to the ESP32 microcontroller, which has been programmed to analyze the data. Once the alert has been triggered, the ESP32 microcontroller has been communicating through UART with the ESP32-CAM module, which has been taking real-time images of the intruder. These images, along with the ATM’s location are sent to the police stations and the bank manager through email and the Adafruit IO Application. As the situation is being handled, an automatic lock mechanism is activated to trap the intruder, while a buzzer sounds to alert the public. The ATM door will be unlocked later by the authorized personnel using the Adafruit IO app. It has been observed that this system has become a reliable solution for ensuring ATM security by providing quick response, real-time monitoring, and theft prevention. The results obtained from the simulations done in Arduino IDE and experimental prototype validates the proposed idea.