Raspberry Pi Based Driver Drowsiness Detection System Using CNN
Product Description
Aim:
The aim of the project is will develop the Internet of Things (IoT) and deep Learning in the field of Road Safety and accident prevention.
Abstract
This paper presents the implementation of a drowsiness driving detection system using Maixdock. Drowsy driving can be defined as a behavioral decline in driving skills. In this work, Deep learning has been used to classify drowsiness symptoms such as blinking and yawning. The sample images were used to train the yolo architecture. A 4 -layer convolution filter has been added as a layer in this yolo architecture. Adam optimization algorithm was then used to train the yolo. A real time study on the effectiveness of this prototype was conducted on 10 individuals. This proposed system successfully demonstrates a classification accuracy rate between 80% Other factors that can affect the rate of classification accuracy, such as camera distance from the driver and lighting factors, are also studied in this paper. If the driver is drunk, then vehicle ignition will not start until the driver is not changed. In case the car is already in driving condition, then the system alerts the driver using a buzzer and pulse sensor also detecting the readings and alert driver, if rick is presence or not. It collects information using a variety of sensors and an onboard camera. The collected data can then be uploaded to a central server
Proposed System:
In this proposed system we use Ai camera and Maixdock controller to detect the driver drowsiness by using Machine Learning. In addition to it we use GPS to track the location and alcohol sensor to detect the drunk and drive scenario. We use heart beat sensor to find the driver health.Esp8266 is connected with IoT to update the status from the sensors.
When you order from finalyearprojects.in, you will receive a confirmation email. Once your order is shipped, you will be emailed the tracking information for your order's shipment. You can choose your preferred shipping method on the Order Information page during the checkout process.
The total time it takes to receive your order is shown below:
The total delivery time is calculated from the time your order is placed until the time it is delivered to you. Total delivery time is broken down into processing time and shipping time.
Processing time: The time it takes to prepare your item(s) to ship from our warehouse. This includes preparing your items, performing quality checks, and packing for shipment.
Shipping time: The time for your item(s) to tarvel from our warehouse to your destination.
Shipping from your local warehouse is significantly faster. Some charges may apply.
In addition, the transit time depends on where you're located and where your package comes from. If you want to know more information, please contact the customer service. We will settle your problem as soon as possible. Enjoy shopping!
Download Abstract
Click the below button to download the abstract.
Package Includes
Software Projects Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- UML Diagrams
- SRS
- Source Code
- Screen Shots
- Software Links
- Reference Papers
- Full Project Documentation
- Online support
The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days
Hardware Projects Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- Datasheets
- Circuit Diagrams
- Source Code
- Screen Shots & Photos
- Software Links
- Reference Papers
- Lit survey
- Full Project Documentation
- Online support
The Delivery time for Hardware
projects is 7-8 working days.
Mini Projects: Software Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- UML Diagrams
- SRS
- Source Code
- Screen Shots
- Software Links
- Reference Papers
- Full Project Documentation
- Online support
The
Delivery time for software Miniprojects is 2 -3 working days.
Mini Projects - Hardware includes
- Demo Video
- Abstract
- PPT
- Datasheets
- Circuit Diagrams
- Source Code
- Screen Shots & Photos
- Software Links
- Reference Papers
- Full Project Documentation
- Online
support
The Delivery time for Hardware Mini projects is 7-8 working days.