Methodology
System Architecture:
The proposed vital parameter monitoring system consists of various hardware and software components. The hardware components include ESP8266, Max30102 (Pulse oximeter sensor), MLX90614 (Temperature sensor), MQ3 (Breathalyzer), web-camera, buzzer, and accelerometer (ADXL345). The software components consist of a microcontroller program that interfaces with the hardware components and a web application for monitoring the sensor data.
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Sensor Integration and Calibration:
Our project involves the use of various sensors to monitor the driver's vital signs and detect alcohol consumption. To ensure accurate readings, each sensor has been calibrated using established calibration procedures. The three sensors used in this project are the Max30102, MLX90614, and MQ3 sensors. The data collected from these sensors is then transmitted to the microcontroller using the I2C communication protocol. By utilizing precise calibration techniques, we can ensure that the data collected is accurate and reliable, providing valuable insights into the driver's condition. This technology has the potential to significantly reduce the risk of accidents caused by human error and make our roads safer for all.
Driver Health Monitoring:
In this project, several sensors are used to monitor the driver's vital signs and detect the presence of alcohol in the surrounding environment. The Max30102 sensor is utilized to measure the driver's heart rate and oxygen saturation levels. This sensor works by shining a light through the skin and measuring the amount of light that is absorbed by the blood. The sensor can detect changes in the absorption of light, which allows it to determine the heart rate and oxygen saturation levels., while the MLX90614 sensor tracks the driver's body temperature. The MLX90614 sensor measures the driver's body temperature using infrared radiation. This sensor works by detecting the heat emitted by the driver's body and converting it into an electrical signal that can be processed by the microcontroller. In addition, the MQ3 sensor is used to detect alcohol. This sensor works by measuring the conductivity of the air, which changes when alcohol is present. If any of the vital parameters deviate from the normal range or alcohol is detected, the system will immediately alert the driver using a buzzer to ensure their safety on the road. The integration of these sensors helps in preventing potential accidents caused by driver impairment or other physical health conditions.
Vehicle Safety Features:
The mobile application developed in this project utilizes advanced technologies such as a digital camera, accelerometer, and face recognition techniques to monitor the driver's behavior and ensure the safety of the vehicle. The digital camera is used to track the driver's facial movements and determine their level of drowsiness. In the event that the driver is observed to be drowsy, an alarm is triggered to alert them. Additionally, the camera is used for facial recognition to prevent unauthorized access to the vehicle. All of these sensors are calibrated using established procedures and transmit their data to the microcontroller via the I2C communication protocol. The accelerometer is used to detect sudden changes in the vehicle's acceleration, which may indicate a crash. If a crash is detected, the system sends a notification to the mobile application, allowing for quick response and potentially saving lives. Overall, the combination of these advanced technologies provides a comprehensive approach to driver safety and vehicle security. 24
User Interface:
In our project, the microcontroller program is designed to gather data from the various sensors installed in the vehicle, such as the Max30102, MLX90614, MQ3, and ADXL345 sensors. Once the sensor data is collected, the microcontroller sends the data to the application through Wi-Fi. The application then displays the real-time sensor data, allowing the driver to monitor their vital parameters such as heart rate, blood oxygen levels, and body temperature. Moreover, in the event of a vehicle crash, the ADXL345 sensor is triggered, and the system sends a crash notification to the application. The application's interface is user-friendly and straightforward, with easy-to-read visualizations of the sensor data, making it easier for the driver to understand their current physical condition and take appropriate action if necessary. This system provides valuable insights into the driver's health and overall well-being, which can be used to promote safe driving practices and reduce the risk of accidents on the road.
Application name: Safe Steer
Testing:
The system is thoroughly tested to ensure its accuracy and dependability. The testing was carried out on various subjects. The performance of the system is assessed by analyzing sensor data and comparing it to established medical standards.
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