HVS-4956. Smart Sleep Quality Monitoring and Analysis system using IoT.
₹9,000.00
This project proposes a Smart Sleep Quality Monitoring and Analysis System using IoT to monitor and analyze different environmental conditions that affect sleep quality.
Categories
ECE, EEE
Tags
DHT11, ESP32, LDR, MQ-135, PIR, Sound sensor, VOICE MODULE
Description
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Description
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Sleep is one of the most important factors that influences human health and daily performance. However, many people experience poor sleep due to environmental disturbances such as noise, light, temperature variation, and poor air quality. This paper proposes a Smart Sleep Quality Monitoring and Analysis System using IoT to monitor and analyze different environmental conditions that affect sleep quality.
The proposed system uses an ESP32 microcontroller integrated with multiple sensors such as a PIR sensor for motion detection, DHT11 sensor for temperature and humidity monitoring, MQ135 sensor for air quality detection, sound sensor for noise level measurement, and LDR sensor for light intensity detection. The collected sensor data is transmitted to the cloud platform using Wi-Fi and stored in the ThingSpeak cloud platform for real-time monitoring and analysis through a web dashboard. When the PIR sensor detects body movement during sleep, a voice module activates and plays pleasant music through a speaker to help the user relax.
The proposed system provides a cost-effective and efficient solution for monitoring sleep conditions and improving sleep quality through IoT-based analysis.
Main Objectives in this project:
Block Diagram:
video:
- To monitor the environmental conditions affecting sleep quality using IoT sensors.
- To measure temperature, humidity, air quality, noise level, light intensity, and body movement during sleep.
- To transmit the collected sensor data to the ThingSpeak cloud using Wi-Fi for real-time monitoring.
- To analyze sleep-related environmental data through an online dashboard.
- To improve sleep quality by playing relaxing music when body movement is detected.
- To develop a low-cost, smart, and user-friendly sleep monitoring system for better health and comfort.
- Adapter Power Supply.
- ESP32 Microcontroller.
- PIR sensor.
- MQ-135 sensor.
- DHT11 sensor.
- SOUND sensor.
- LDR.
- Voice Module.
- LCD display.
- Embedded C programming.
- Arduino IDE programmer for dumping code into Micro controller.
- Express SCH for Circuit design.
Block Diagram:
video:












