Driver Drowsiness Alarm System

Project Title

Driver Drowsiness Alarm System

Project Area of Specialization Internet of ThingsProject Summary

When a driver drives an automobile in a sleepy state, it can cause a road accident. There are hundreds of accidents cases that are caused by the drowsiness state of the driver. It is necessary to control the number of such accidents by creating a system that can alert the driver when he is in a drowsy state.

The driver drowsiness system will alert the driver when he is in drowsy state. Driver Drowsiness Alarm System will help us to minimize the accident ratio due to the drowsy condition of the driver. This system will check whether the driver is active or not? If the driver is sleeping. In this case, the system will alert the driver by the alarm. This will decrease the accidents due to the drowsiness of the driver.

Project Objectives

This proposed system is the car safety technology that will help to save the life of the driver and the vehicle from an accident when the driver is getting drowsy. Our system will detect driver drowsiness by continuously monitoring the retina of the eye and it will alert the driver through a speaker or buzzer when drowsiness is detected.

Project Implementation Method

We will use the agile approach for the development of this project. It is an iterative approach to the development of the software. Driver Drowsiness Alarm system will use a specially designed Python-based algorithm that points towards the driver’s eyes.directly to detect drowsiness. After the detection of the drowsy state of the driver, a warning signal will be generated to alert the driver. The system will work with the information collected by the binary version of the image to find the edge of the face using an open CV, which will narrow the area where the eyes exist. When the face area is found the eyes will be found by computing the horizontal averages in the area. As we know the in-face eye region shows great intensity changes, the eyes are located by finding the significant intensity changes. After eye detection distances between intensity changes will show whether the eyes are closed are opened. The large distance represents the eye closure. If the eyes are detected closed beyond the limit the driver will be considered in a drowsy state and the alert will be generated to the driver.

Benefits of the Project

This system has following advantages

• Plug and play system
• Easy to use
• No battery life issue
• Real time video capturing and analyzing
• Save from accident

Technical Details of Final Deliverable

Driver Drowsiness Alarm system will use a specially designed Python-based algorithm that points towards the driver’s eyes directly to detect drowsiness. After the detection of the drowsy state of the driver, a warning signal will be generated to alert the driver. The system will work with the information collected by the binary version of the image to find the edge of the face using an open CV, which will narrow the area where the eyes exist. As we know the eye region shows great intensity changes, the eyes are located by finding the significant intensity changes. After eye detection distances between intensity changes will show whether the eyes are closed or opened. The large distance represents the eye closure. If the eyes are detected closed beyond the limit the driver will be considered in a drowsy state and the alert will be generated to the driver.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Transportation Core Technology Internet of Things (IoT)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	55000
Raspberry Pi 4	Equipment	1	45000	45000
Power supply adapter for Raspberry Pi 4	Equipment	1	2500	2500
Web cam	Equipment	1	5000	5000
stationery printing and overheads	Miscellaneous	1	2500	2500