drivers smart health monitoring system14326
According to an estimate, around ten million traffic accidents occur each year around the world. Drowsiness and driver health concerns are key contributors to these numbers. Because of the seriousness of these instances, traffic accidents are now being acknowledged as a public fitness problem. Devel
2025-06-28 16:26:52 - Adil Khan
According to an estimate, around ten million traffic accidents occur each year around the world. Drowsiness and driver health concerns are key contributors to these numbers. Because of the seriousness of these instances, traffic accidents are now being acknowledged as a public fitness problem. Developed countries account for more than half of all traffic mishaps demise and Pakistan is also included in these road accident deaths. Driving on a long route is more likely to result in an accident, which is also fairly habitual in developing countries. As a result, a technique for observing the driver’s health factors is required to make sure a secure drive. The main aim of this project is to make a driver’s smart health monitoring system for drivers that is effective and appropriate. The smart health monitoring system is an integrated system that is designed specially to facilitate drivers. The Internet of Things is a network of interconnected devices that can gather and transmit information without the need for human involvement across a wireless network.
The primary goal of the Internet of Things is to create a system of self-contained appliances that do not require human involvement to work. During driving a vehicle, this network would monitor the driver’s heart rate, temperature, and sleepiness. The driver’s heart rate and temperature are sensed using a watch-shaped framework with sensors affixed to it. The artificial intelligence technique identifies the driver’s drowsiness using an infrared-based pi camera. This system provides a safe drive and significantly reduces the driver’s road accidents.
Project ObjectivesThe aim is to make a cost-efficient and convenient driver’s health monitoring system. Our objective is to
- Detect the driver’s drowsiness.
- Remote sensing of observant parameters.
- Real-time driver’s health monitoring.
This project is based on the safety of drivers and also monitoring the status of health during driving. This project is divided into two parts. In the first part, drowsiness is detected. For this purpose, the camera capture frames of a person who is sitting in a driving seat and then sends them to the Raspberry Pi Board for further processing. This phase of the project lies in the image processing domain. The facial landmark trained file is used in this project which extracts 64 different face points. Our region of interest is the area around two eyes. The points of this area are extracted and then by applying the distance formula we calculate the distance between different points in the right and left eye simultaneously. The threshold is defined in the code and on the basics of this open and close of eyes is detected on each frame of camera drowsiness is detected. The main libraries used in this project are open cv, imutils, scipy, os, time, dlib. The open cv 4 is used in this project as this is the main library that contains a definition of image processing commands. The next part of this project is a wristband that contains an ESP32 microcontroller board and also sensors like pulse sensor, temperature and humidity sensor, etc. The sensor senses the condition of the driver whether his temperature is ok or not and also checks the pulse rate and sends data to the cloud firebase. The drowsiness alert is also sent to the firebase cloud. The wristband contains a battery of 9v and also contains GPS from where real-time location is sent to the firebase server from where a concerned family member/company can view it. The GPS is attached to esp32 using serial communication having a baud rate of 9600. The UART communication protocol is used in this microcontroller IoT board. The system focuses on the health monitoring of the driver and also generates an alarm when drowsiness is detected in real-time.
Benefits of the ProjectThis project has numerous positive benefits. It is an effort to ensure a safe drive for common people as well as for people who drive professionally. Not everybody in our society can afford luxury cars that have in-built driver’s health detection. It is an attempt to make the drive safer for ordinary people as this system can be fit in any car.
Technical Details of Final DeliverableThe deliverables propose are to develop a health monitoring system that can monitor three of the driver’s health parameters which are temperature, pulse, and drowsiness.
- Drowsiness:
Use Raspberry Pi 4 (4GB) for drowsiness detection and it can be helpful in real-time monitoring. It’s a python-based code using Thonny Python IDE software to use a different library. The pi camera is mounted on the dashboard of the car in such a way that it will record the driver’s face out of which frames are extracted using a python CV-based algorithm. Buzzer alerts him whenever his eyes remain closed and send an alert message to the server cloud (Firebase)drowsiness is detected.
- Wristband:
Develop a wristband for monitoring the temperature and pulse of the driver. In this, part body temperature (DHT-11) and heart rate are measured using two sensors that check the value below or above the threshold value the led indicator on and send an emergency alert to the server cloud (firebase). The GPS module checks the current location of the drive.
Final Deliverable of the Project HW/SW integrated systemCore Industry HealthOther Industries Medical , Others , Telecommunication Core Technology Internet of Things (IoT)Other Technologies OthersSustainable Development Goals Good Health and Well-Being for People, Sustainable Cities and CommunitiesRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 79600 | |||
| Raspberry Pi 4 (4GB) | Equipment | 1 | 35700 | 35700 |
| Pi Camera | Equipment | 1 | 9000 | 9000 |
| Battery(Power Bank) | Equipment | 1 | 5000 | 5000 |
| Node MCU (ESP32) | Equipment | 1 | 1700 | 1700 |
| Buzzer | Equipment | 1 | 200 | 200 |
| Push Button Switch | Equipment | 1 | 100 | 100 |
| Temperature Sensor | Equipment | 1 | 1500 | 1500 |
| Pulse Sensor | Equipment | 1 | 1500 | 1500 |
| LED Indicator | Equipment | 2 | 100 | 200 |
| GPS Module | Equipment | 1 | 2200 | 2200 |
| Wrist Band | Equipment | 1 | 300 | 300 |
| SD Card(32 GB) | Equipment | 1 | 2200 | 2200 |
| Project Assemble | Equipment | 1 | 10000 | 10000 |
| Miscellaneous | Miscellaneous | 1 | 10000 | 10000 |