Smart Driver Behavior Monitoring System

Road accidents are getting very common day by day. It can be seen that the number of deaths due to road accidents is greater than anything nowadays. A car is indeed an important thing today for everyone. Almost every person owns a car now. As the population is rising it can be seen that the manufact

Project Title

Smart Driver Behavior Monitoring System

Project Area of Specialization

Artificial Intelligence

Project Summary

Road accidents are getting very common day by day. It can be seen that the number of deaths due to road accidents is greater than anything nowadays. A car is indeed an important thing today for everyone. Almost every person owns a car now. As the population is rising it can be seen that the manufacturing of cars has also increased by a great number. Unfortunately, our techniques to handle this amount of traffic are still quite primitive which, therefore, gives a lead to a great number of violations and hence serious accidents. We want to introduce a system that can identify the violators and prevent such accidents. The system does not require a lot of men but a camera and internet to work with. This will help the authorities to identify those violators that are difficult to catch.

Project Objectives

This project is intended to reduce the number of accidents and traffic violations on highways and roads. For this, a camera device will be installed in a car to real-time monitor the driver’s behavior. This will help the authorities to identify the violators (no seatbelt, using mobile phones, etc.) which is impossible or very difficult as the cars on highways are moving very fast and it is not possible to look inside. Also, it is not possible to keep a check on every vehicle all the time while it is on a highway. This product will enable us to tackle that issue while monitoring the vehicle drivers all the time, while they are on highways.

Project Implementation Method

A camera device will be installed in a car which will real-time monitor the driver’s behaviour. This will help the authorities to identify the violators (no seatbelt, using mobile phones etc.) which is impossible or very difficult as the cars on highways are moving very fast and it is not possible to look inside. This product will enable to tackle that issue while monitoring the vehicle drivers all the time, while they are on highways.

Benefits of the Project

This project is intended to reduce the number of accidents and traffic violations on highways and roads. For this, a camera device will be installed in a car to real-time monitor the driver’s behavior. This will help the authorities to identify the violators (no seatbelt, using mobile phones, etc.) which is impossible or very difficult as the cars on highways are moving very fast and it is not possible to look inside. Also, it is not possible to keep a check on every vehicle all the time while it is on a highway. This product will enable us to tackle that issue while monitoring the vehicle drivers all the time, while they are on highways.

Technical Details of Final Deliverable

The system architecture of this model has a real-time monitoring system using a web camera device or external cameras. The purpose of this model is to identify the behavior of the driver in real-time. On the basis of that, the model is trained via CNN (Convolutional Neural Network) using the Inception V3 model. For the Drowsiness Detection, the Euclidean distance along with Dlib Library is been used to detect if the driver is fully focused on the road.

The model is trained by using multiple images from different angles and scenarios (Mostly taken in the car) to make it as accurate as possible.

This model is programmed in Python Language compiled on Jupiter Notebook which is a web-based IDE using Anaconda Navigator (Creates an Environment). There are a few libraries used for the deployment of the system. The model is deployed using the OpenCV library to get the results. A few libraries that are used are; Tensorflow, Numpy, Dlib, Times, Imutils, Pygame, and Keras.

The three main components of this model are

1. Drowsiness detection
2. Seatbelt Detection
3. Mobile Handling

The system is working on these main features that are supposed to be working using a camera. The interface for using and handling the data collected could be a web-based or a mobile application depending on the user requirement.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Transportation

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Life on Land

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com