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HVS-4679. IoT based Smart Sleep Tracker

8,000.00

The proposed system is built around the ESP32 microcontroller and integrates multiple sensors, including a PIR sensor for detecting body movement, a temperature sensor for monitoring ambient temperature, an MQ135 sensor for assessing air quality, and a sound sensor for measuring noise levels.

Sleep quality plays a vital role in maintaining overall health and well-being. Poor sleep conditions can lead to various health issues such as stress, fatigue, and reduced productivity. This project presents an IoT-based Smart Sleep Quality Monitoring and Analysis System designed to monitor and analyze environmental and physical factors that influence sleep quality in real time. The proposed system is built around the ESP32 microcontroller and integrates multiple sensors, including a PIR sensor for detecting body movement, a temperature sensor for monitoring ambient temperature, an MQ135 sensor for assessing air quality, and a sound sensor for measuring noise levels. These parameters are continuously monitored to evaluate the sleeping environment and user activity during sleep. The collected sensor data is transmitted to the cloud via Wi-Fi and stored on the ThingSpeak platform, enabling real-time monitoring and analysis through a web-based dashboard. Additionally, the system displays the measured values on an LCD screen for local monitoring. Body movements detected by the PIR sensor provide insights into sleep disturbances and restlessness. The proposed system offers a cost-effective, efficient, and user-friendly solution for continuous sleep monitoring. By analyzing environmental conditions and sleep patterns, it helps users understand and improve their sleep quality, making it suitable for home healthcare and smart living applications.    

Objectives:
  • To monitor sleep conditions using different sensors.
  • To measure temperature, air quality, noise, and body movement during sleep.
  • To use ESP32 for collecting and processing sensor data.
  • To send data to the cloud using Wi-Fi.
  • To display data on an LCD screen.
  • To analyze sleep quality based on collected data.
  • To develop a low-cost and easy-to-use system.
  The major building blocks of this project are:
  • Adapter power supply.
  • ESP32.
  • MQ-135
  • PIR Sensor
  • Sound Sensor.
  • Temperature Sensor.
  • LCD display.
  Software’s used:
  • ARDUINO IDE.
  • Embedded C language.
      Block Diagram:        

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