Driver fatigue problems have become a common factor in a large number of traffic accidents. Lowering the number of driver fatigue related accidents will save lives and personal sufferings. A driver fatigue detection system should detect whether the driver is tired, such as dozing or sleeping, so as
Passenger safety system using image processing
Driver fatigue problems have become a common factor in a large number of traffic accidents. Lowering the number of driver fatigue related accidents will save lives and personal sufferings. A driver fatigue detection system should detect whether the driver is tired, such as dozing or sleeping, so as to generate a warning alarm to alert the driver. As human eyes express the most direct reaction when dozing or sleeping, eye blink detection is widely used as the basis for the driver fatigue detection by researchers
The detection and tracking of faces and eyes in video sequences is a basic problem in computer vision. In the recent years, digital image processing and computer vision techniques on human faces have been used in many applications, such as face recognition, face analysis, eyes detection, gaze tracking etc.Among all these research, the first step is usually to locate the face. Feature based face detection methods utilize some well known knowledge on human faces e.g, relative location of the eyes, nose and mouth in a face etc, to classify the image
as a face .The other important technique for face detection is based on the skin color. Color-based face detection methods build on specific color models to locate faces based upon skin colors, Various classifiers based on
the neural networks Principal Component Analysis (PCA) and Support Vector Machines (SVM) are used for this purpose.
The main objective of this hardware is to monitor the state of drivers eyes with the help of camera. The purposed system will prove as a milestone for the public transport system. The state of drivers eyes will be monitored in real time without any interruption. The main objective of this hardware is to identify the closed eyes condition in as soon as possible to avoid road accidents. The second objective of this hardware is to safely parked the vehicle with the automatic breaking mechanism in case of closed eyes.
The implementation method of this hardware is divided into two main parts one is the implementation of the software and the second is the implementation of the hardware. The software implementation can be designed with the help of the given algorithm. The algorithm is designed in such a way that camera detects the eyes of the driver and incase of closed eyes the camera will sends the signal to the Arduino with the help of serial communication system for the announcement of hazards.
The hardware of this projects involves the car assembly and the electric motor and one dc buzzer and webcam. All parts of the hardware are integrated with the Arduino with the help of connecting wires. In case of automatic breaking system, the servo motor automatically pushes the break liver for the automatic breaking process.
The main benefit of the hardware is listed in the below section.
The system will help us to reduce the road accidents.
The system will help us to minimize the loss in case of road accidents.
The system will help the passengers for the safe travelling.
The purposed hardware is the one of the best approach for the road safety. The purposed hardware helps us to minimize the loss in case of road accidents. The system will announce the early alert in case of closed eyes and the chances for the road accident and the incidents should be minimum with the help of this system.The system will proved as a milestone for the roads and passengers safety.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Arduino | Equipment | 1 | 3500 | 3500 |
| Camera | Equipment | 1 | 6500 | 6500 |
| Car Assembley | Equipment | 1 | 9000 | 9000 |
| Car Motor | Equipment | 1 | 2500 | 2500 |
| Batteries | Equipment | 2 | 1200 | 2400 |
| Charge Controller | Equipment | 1 | 1898 | 1898 |
| Buzzer | Equipment | 1 | 550 | 550 |
| Servo Motor | Equipment | 1 | 900 | 900 |
| Breaking System | Equipment | 1 | 4300 | 4300 |
| Supply for arduino | Equipment | 1 | 900 | 900 |
| Glue Gun | Equipment | 1 | 1250 | 1250 |
| Soldering Iron | Equipment | 1 | 550 | 550 |
| Connecting Wiires | Equipment | 2 | 980 | 1960 |
| Touch Sensor | Equipment | 1 | 1250 | 1250 |
| arduino Casing | Equipment | 1 | 450 | 450 |
| Car Motor Driver | Equipment | 1 | 3400 | 3400 |
| Car Battey Charger | Equipment | 1 | 3500 | 3500 |
| Wood Wokrs | Miscellaneous | 1 | 2000 | 2000 |
| Helping Materials | Miscellaneous | 1 | 3000 | 3000 |
| Tools | Miscellaneous | 1 | 2500 | 2500 |
| Designing | Miscellaneous | 1 | 1200 | 1200 |
| Total in (Rs) | 53508 |
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