Authors: R.Ranjith, S.Sudhakar, A.Adhithya, Dr. T. Sengolrajan
Abstract: This project develops a wirelessly connected hair drying system that automatically adjusts airflow speed based on real-time hair moisture detection through integration with existing hair dryer units. The system employs ESP32 microcontroller as the central processing unit with built-in Wi-Fi capability for cloud connectivity and mobile application interface. Capacitive moisture sensors continuously monitor hair wetness levels and transmit data to the ESP32 which processes the information through adaptive algorithms. DS18B20 temperature sensors monitor thermal output while solid-state relays control the heating element through PWM signals. Motor speed regulation utilizes to modulate AC motor performance across three operational levels high speed for very wet hair conditions, medium speed for moderately damp hair and low speed for nearly dry hair conditions. The touch control interface integrates mounted on the dryer surface for manual operation while the mobile application communicates through Firebase cloud platform enabling remote parameter adjustment. An OLED display module presents real-time operational data including moisture levels and temperature readings. The integration process involves mounting the moisture sensor near the dryer nozzle, installing temperature sensors adjacent to heating elements and housing the ESP32 module within the dryer handle.
DOI: https://doi.org/10.5281/zenodo.19675047
