Key sensors and modules integrated into the incubator include the MAX30100, which measures heart rate and oxygen saturation levels, the DHT11 for temperature and humidity measurements and which are interfaced to the Arduino NANO. Here we are using Arduino NANO as a serial converter. Relays for controlling devices such as the exhaust fan and heater to maintain desired temperature levels. The UV lamp is also controlled via a relay to maintain optimal humidity by preventing fungal growth and infections.

To enhance portability and energy efficiency, the system is powered by a solar panel, ensuring continuous operation even in off-grid locations or areas with limited electricity access. This renewable energy source makes the incubator more sustainable and suitable for use in remote or disaster-affected regions.

Data from the sensors is displayed in real-time on an LCD screen for local monitoring and adjustments. For remote monitoring, an ESP32 is used for live streaming to a web interface, allowing health professionals or caretakers to monitor conditions from any location. Additionally, an ESP8266 is connected to ThingSpeak, a cloud platform for IoT data visualization, providing remote access to sensor data and helping to track trends over time.

This portable body incubator system allows caregivers to provide continuous, data-driven care, with automation, remote access, and solar-powered operation for better patient monitoring and comfort.

Major features of this project:

Temperature and Humidity Control: To maintain optimal temperature and humidity levels using sensors and automated control of the heater, fan, and UV lamp.

Health Monitoring: To monitor vital signs such as heart rate and oxygen levels using the MAX30100 sensor.

Real-Time Data Display: To display real-time sensor data on an LCD screen for immediate monitoring.

Remote Monitoring: To enable remote access and live streaming of data using ESP32 for continuous monitoring.

Cloud Data Storage: To upload sensor data to ThingSpeak using ESP8266 for long-term tracking and analysis.

Portable Design: To create a compact and mobile incubator that can be used in various healthcare settings.

Renewable Energy Source (Solar-Powered Operation): Integrated solar panel ensures continuous operation in off-grid areas. Enhances portability and sustainability, making it ideal for remote regions.

Major blocks present in this system:

1. Rechargeable Battery.
2. Solar panel.
3. Raspberry pi pico.
4. Arduino Nano.
5. Max30100 sensor.
6. DHT11 sensor.
7. LCD display.
8. LM2596 Voltage regulator.
9. Relays.
10. UV Lamp.
11. Heater.
12. Exhaust fan.
13. Esp32 Camera.
14. ESP8266 WI-FI module.
15. Buzzer.

Software’s used:

1. THONNY PYTHON IDE programmer.
2. Python language.
3. Express SCH for Circuit Design.
4. EMBEDDE C and ARDUINO IDE for ESP32CAM.

video:

Generally, flooding cannot be stopped and unavoidable, but early detection or warning system can be used to reduce losses faced by the citizen and government. For this reason, we need to create flood level sensing devices which will detect the water level in dam.

The project makes a use of raspberry pi pico module main controlling device of the whole project. By using ultrasonic sensors, we can measure the distance of surface water. By using moisture level sensor, we can measure the maximum level of water. To measure the water flow using flow sensor. GSM technology is used for sending alert intimation to the respective authorities. Audible alerts using buzzer. The status of the project is display on LCD.

This system is integrated to the Raspberry pi pico board. Moisture Level Sensor, SR04 Ultrasonic Sensor, Water Flow Sensor, Buzzer, GSM and LCD module is interfaced to the Raspberry pi pico module. Raspberry pi continuously monitor the data from sensors. If the sensor data cross threshold value, automatically this system sends the alert SMS to the predefine mobile number through GSM and also activate the buzzer for alerts as well as monitor the sensor data on LCD display. This system can also predict the possibility of flooding before flooding takes place.

The main objectives of the project are:

The main objective of this project is to detect the rising water level in a river/ lake from a reasonable distance and intimate that to the respective authorities through GSM in abnormal conditions of moisture level, water flow and water level.

The major building blocks of this project are:

1. Adapter Power Supply.
2. Raspberry pi PICO.
3. SR04 ultrasonic sensor.
4. Moisture level sensor.
5. Water flow sensor.
6. Ultrasonic sensor.
7. LCD display.
8. GSM.
9. Buzzer.

Software’s used:

1. Python Language.
2. Thonny Python IDE software
3. Express SCH for Circuit design.

Block diagram:

video:

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