# 2023-200

# Safe Ride : Vehicle Alert Ststem for Drivers

## Group Members 


| Student Name | ID | Email| Contact Number |
|-----|------|------|-----|
|Pushpakumara R.A.N.D.	|IT20133436|it20133436@my.sliit.lk|076 0313734|
|Ranathunga R.A.K.K.|IT20135584|it20135584@my.sliit.lk|	076 5559364|
|Rashshami K.A.P.|IT20138318|it20138318@my.sliit.lk|	076 2323932|
|Wijerathne D.M.R.|IT19208022|it19208022@my.sliit.lk|070 4424075|


### Main Objectives 
- The research project on “Safe Ride: Vehicle alert system for drivers”, aims to develop a mobile app that can accurately detect when a driver is drowsy or distracted while driving and provide an alert, to improve road safety and reduce the number of accidents and fatalities. 

### Specific Objectives.

- Driver’s Drowsiness and distraction detection using Eye movements. 
- Driver’s Drowsiness and distraction detection using facial expressions.
- Driver’s Drowsiness and distraction detection using hand pose detection.
- Driver’s Drowsiness and distraction detection using head pose.

### Main Research question
 How to avoid vehicle accidents due to driver’s drowsiness and distraction?

### Pushpakumara R.A.N.D. IT20133436
If the driver falls asleep or distracted while driving, we can identify it by the redness of the eyes.If the driver falls asleep while driving, we 
can identify it by his eye blink rate.

Objectives :
- Detect driver’s eye redness.
- Detect driver’s eye blink rate.
- Identify Drowsiness or Distraction.
- Provide an alert to the driver.

### Ranathunga R.A.K.K. IT20135584
How do we avoid road accidents which are happen due to driver’s drowsiness and it will be detect by using facieal expressions in here.

Objectives :
- Capture and analyze real-time video feeds from the driver
- personalized monitoring and intervention in yawning behavior
- Detect driver’s mouth yawning
- Identify Drowsiness
- Provide an alert to the driver

### Rashashmi K.A.P. IT20138318
How do hand movements affect driving performance and contribute to distracted driving and the solution will be provide in here.

Objectives :
- Detecting images of both hand movements using the mobile camera.
- Identifying distraction.
- Triggers an alarm to alert the driver at the correct moment if both hands are not in the steering wheel.
- Track the vehicle location that vehicle is moving or not.
- Implementing a user-friendly interface.  

### Wijerathne D.M.R. IT19208022
Head pose changes can indicate distracted driving, a common cause of accidents. Establish a safe head pose range for drivers through analysis of driving patterns and distraction levels to ensure focus and safety.

Objectives :
- Detect head pose changes accurately and in real-time using image processing.
- Analyze driving patterns and distraction levels to establish a safe head pose range.
- Alert the driver in real-time when they deviate from the safe head pose range.
- Test the solution's effectiveness in preventing distracted driving through field tests.
- Develop a user-friendly interface for easy accessibility.


