Driver Drowsiness Detection System using Machine Learning

Driver Drowsiness Detection and Alert System using Python

Drowsiness Detection with Neural Networks introduces a life-saving application that focuses on preventing accidents caused by drowsy driving. Leveraging neural networks, the system analyzes facial features and eye movement patterns to detect signs of driver drowsiness. Real-time alerts are triggered when the system identifies potential fatigue, prompting the driver to take necessary precautions. This project aims to significantly reduce the risk of accidents related to driver fatigue, promoting road safety and saving lives.

A DRIVER DROWSINESS AND ALERT SYSTEM USING SMS is a safety mechanism designed to detect signs of driver drowsiness or inattention and promptly notify the driver or a designated contact via SMS to prevent potential accidents. The system typically utilizes computer vision technology and other sensors to monitor the driver’s behavior in real-time.

Driver Drowsiness Detection using Machine Learning

Steps are mentioned below as of how this project works:-
1.Data Collection
2. Drowsiness Detection
3. Decision Making
4. SMS Alert
5. Alerting the Drive

A DRIVER DROWSINESS AND ALERT SYSTEM USING SMS IN PYTHON is a safety system designed to keep drivers safe on the road. It uses a computer program written in Python, which can understand and process images from a camera.

The system watches the driver’s face, especially their eyes, to see if they are showing signs of drowsiness or not paying enough attention. When the system detects that the driver might be feeling sleepy or not focused on driving, it sends a text message (SMS) to a pre-defined phone number, like a family member or friend, to let them know that the driver might need help.

Here are the main steps of Driver Drowsiness Detection :-

1.The program sets up the camera to capture the driver’s face in real-time.
2.It uses some special math to analyze the driver’s eyes and figure out if they are open or closed. This helps to detect if the driver is getting drowsy.
3.The system also checks for other signs of drowsiness, like mouth movement or head position.
4.It decides if the driver needs an alert based on the collected information.
5.If the system thinks the driver is drowsy, it sends a text message through a service called Twilio, which can send messages from Python programs.
6.The program keeps doing this continuously, always checking to make sure the driver is safe.

CONCLUSION :-
The goal of the DRIVER DROWSINESS AND ALERT SYSTEM USING SMS IN PYTHON system is to help prevent accidents by warning the driver or someone who can help them when they might be too tired to drive safely. But before using it on the road, it’s essential to test it well to make sure it works correctly and doesn’t cause any problems. Safety is the most important thing.

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

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