International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 04 | Apr 2023
p-ISSN: 2395-0072
www.irjet.net
Heart Health & Drowsiness Analysis of Driver for RoadSafety Prof. Soumya S1, Mr. Thanaya B2, Mr. Mehfooz Ahmed3, Mr. Vithesh4, Mr. Swasthik5 1
Asst. Professor, Dept. of CSE, YIT Moodbidri, Mangalore, Karnataka, India 2 B.E Student, Dept. of CSE, YIT Moodbidri, Mangalore, Karnataka, India 3 B.E Student, Dept. of CSE, YIT Moodbidri, Mangalore, Karnataka, India 4 B.E Student, Dept. of CSE, YIT Moodbidri, Mangalore, Karnataka, India 5 B.E Student, Dept. of CSE, YIT Moodbidri, Mangalore, Karnataka, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The "HEART HEALTH & DROWSINESS
future. National and state highways makeup 5.04% of all roads in India and collectively account for almost 54% of accidents and 60% of fatalities, with the remaining 94% of Indian roadways accounting for 45% of accidents and 39% of fatalities. Each year, business accidents claim the lives of around 1.3 million individuals. A new 20 to 50 million people each year suffer lethal injuries, and many of them go on to have disabilities. Road traffic accidents result in huge economic losses for individuals, their families, and entire nations. These losses have an impact on the cost of medical care, missed stipends for people who pass away or become disabled as a result of their injuries, and caregiving costs for relatives who must take time off from work or school to care for the injured. Most countries lose three percent of their GNP due to transportation accidents.
THE " ANALYSIS FOR ROAD SAFETY" project was created exclusively to ensure the safety of those who operate motor vehicles, rest in passenger seats, ride bicycles, stroll along footpaths next to roads, and engage in various other activities. According to a survey, about 1.3 million people die yearly in traffic accidents because of road conditions, driver error, car component failure, and driver error. It is said that a vehicle accident occurs every five seconds. Another study by Stanford Law School found that 90% of car crashes are the result of human error. Fatigued drivers, who drive despite being warned not to, or who have other health problems can make mistakes. 40% of all traffic mishaps are the result of sleep deprivation. By preventing drivers who are sleep deprived or have heart issues from operating a vehicle, our device seeks to decrease the enormous number of accidents. It will guarantee fewer accidents each year due to heart disease and lack of sleep, boosting the confidence of people who cross in front of moving vehicles.
1.1 Objective Of Research We plan to create a straightforward yet effective embedded system that can capture the driver's face, analyze the data from it, and determine whether the driver is sleep deprived. Additionally, this device will have a PPG sensor to monitor heart rate and determine if there are any significant changes. If so, the driver will be prompted to rest or take safety precautions.
Key Words: road safety, drowsiness, heart rate analysis, road accidents.
1. INTRODUCTION It is clear from reading studies conducted by international and national organizations like the Ministry of Road Transport & Highways and Motor Vehicle Departments that accidents caused by health issues are becoming more frequent every day. As the years go by, there are more cars on the road. As this is occurring, the number of accidents on the road brought on by human error is rising proportionally. When a fatal accident occurs due to a basic factor like lack of sleep, it is frightening for anyone driving a motorcycle or walking next to the road. The concept for this straightforward yet effective project was born out of the need to overcome this fear of the driver and other road users. If properly implemented globally, this straightforward device could assist in reducing the 40% to 0% at some point in the
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2. LITERATURE REVIEW [1] Design of Drowsiness, Heart Beat Detection System, and Alertness Indicator for Driver Safety: Accident rates are rising and there is no safety for the driver or passengers as a result of driver error. Hence, accident rates can be reduced by continuously monitoring the driver, identifying tiredness and heart rate variations, and also warning him when he deviates from his regular situation. Motion detection for predicting drowsiness and the R-peak detection algorithm for counting heartbeats are two effective techniques for performing this. For the sake of the
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