The Driver Drowsiness Detection System For Safe Journey

Project Title

The Driver Drowsiness Detection System For Safe Journey

Project Area of Specialization Artificial IntelligenceProject Summary

The Driver Drowsiness Detection System for Safe Journey is designed for driver safety. Mostly in a long drive, drivers feel drowsiness during driving may cause a serious accident. The System generates alert for the driver when it detects drowsiness from a facial expression of the driver. Also, it detects any unusual activity during driving, such as usage of Mobile Phone, Sleeping, Drunk & Drive, Distraction, etc and also driver see their unusual activity in mobile application.

Project Objectives

Nowadays the driver safety in the car is one of the most wanted system to avoid accidents.Our objective of the project is to ensure the safety system.For enhancing the safety.We are detecting the unusual activity of the driver and estimating the driver state and control the car accordingly through alert the driver

Project Implementation Method

A project may be divided into four major phases as follows.

• Design Phase

1. Firstly we will collect different datasets of driver activities and train our model.
2. Setting up hardware to run the code and return results for the alert.
3. Develop our mobile app to record and maintain analytics.

• Implementation Phase

1. Firstly, we implement it on a software
2. Then after software implementation is completed we deploy it to hardware and on the car.

• Testing Phase

1. Testing on software.
2. Testing on hardware.
3. Deploy in a car and test.
4. Lastly, we test completely using software, hardware, and mobile app.

• Evaluation Phase

We will provide timing charts and graphs for the unusual activity of drivers using a mobile phone app

Benefits of the Project

The problem we found that mostly accident occurs because of irresponsible driving of the driver. If the driver (feels drowsiness, takes drug or alcohol, usage of mobile, reaching for an object) during driving then he or she will not focus on the road. As a result, the driver faces a serious accident.For this project we save the driver life.

Technical Details of Final Deliverable

1. Detecting facial expressions of driver (i.e. downiness, sleeping, alcoholic)
2. Detecting driver if he or she using mobile phone.
3. Detecting mood of driver (i.e. angry, sad, and happy).
4. Generate an alert when find any unusual activity.
5. Vibrate driver seat when find any unusual activity.
6. Blink LED light when find any unusual activity.
7. Start Voice Assistant Bot which active driver to focus on road.
8. Maintain driver activity analytics using a mobile app.

• Time
• Date
• Unusual Activity
• Counter
• Gender
• Mood
• Facial Expression
• Location
• Graph view in app

Final Deliverable of the Project HW/SW integrated systemCore Industry SecurityOther Industries IT , Transportation , Health Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Industry, Innovation and Infrastructure, Life on LandRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	18000
RaspbarryPi	Equipment	1	6000	6000
GSM Module	Equipment	1	3000	3000
Camera	Equipment	1	2000	2000
Seat Vibrator	Equipment	1	1500	1500
Alarm	Equipment	1	500	500
Solding machine	Equipment	1	500	500
led , wire and other	Equipment	5	100	500
Speaker	Equipment	1	1000	1000
Project Poster	Miscellaneous	1	2000	2000
Printing Document	Miscellaneous	1	500	500
Other	Miscellaneous	1	500	500