This paper presents a low-cost, low-power solution for real-time natural disaster or calamity location detection using the ESP32 CAM, a GPS module, and TinyML.

This study experimentally examined the energy usage of the ESP32 and Arduino Nano microcontroller boards in active and deep sleep (power-down) modes. Both boards were powered by a continuous 5 V ...