The Automobile Black Box has functions similar to an airplane black box. It is used to analyze the cause of vehicular accidents and prevent the loss of life and property arising from vehicle accidents. This paper proposes a prototype of an Automobile Black Box System that can be installed into
wireless black box of car using sensors and gps module
The Automobile Black Box has functions similar to an airplane black box. It is used to analyze the cause of vehicular accidents and prevent the loss of life and property arising from vehicle accidents. This paper proposes a prototype of an Automobile Black Box System that can be installed into vehicles. The system aims to achieve accident analysis by objectively tracking what occurs in vehicles. The system also involves enhancement of security by preventing tampering of the Black Box data. In addition, the Black Box sends an alert message to a pre-stored mobile number via Short Message Service (SMS) through GSM in the case of occurrence of an accident. The proposed system makes use of 4 sensors to record the various driving data parameters. The Arduino controller is used to regulate these sensors. The data received from the sensors are stored on the SD card for retrieval after the accident. The system uses external sensors such as camera and Global Positioning System (GPS) to collect video and location data and as we are making prototype so we show these sensors valus on LCD.
The main goal of our project is to develop a prototype of black box for vehicle diagnosis that can be installed into any vehicle . According to the World Health Organization (WHO), more than a million people in the world are losing their life each year because of transportation-related accidents . To address this problem black box takes on the role of the investigator to determine the cause, thereby helping to propose measures to protect lives. The system also assists the insurance companies with their claim settlements . The importance of such system drove the European Union (EU) to establish a policy that makes it mandatory for all vehicles to be equipped with black boxes . It is difficult to establish the exact cause of an accident from these. To overcome this shortcoming, an Automobile Black Box system that combines both of these aspects is proposed. Apart from the accident analysis by objectively tracking what occurs in vehicles, the proposed system sends short message indicating the position of vehicle by GPS system to family member, emergency medical service (EMS) and nearest hospital so that first aid can be provided as early as possible. The proposed system also incorporates a security module, which employs data encryption to secure the stored data on the SD card . The system aims to achieve accident analysis by strategically placed sensors, in and around the vehicle.
This system is very efficient and hence worthy to be implemented. Accident detection and messaging system can be fitted in vehicle (Ambulance, Police or to the communication device of the near and dear) and they are informed about any such untoward incident at the go. Accident detection and messaging system is execution simple as the system makes use of GSM & GPS technologies. GPS is used for taking the coordinate of the site of the accident while GSM is used for sending the message to phone. To make this process all the control is made using Arduino whereas LCD is used to display the accident.The Arduino Integrated Development Environment (IDE) is utilized for programming the Arduino board. Arduino programs are written in C language. The setup () function is made use of at the start of the program to initialize settings like the pinmode of the digital pins, serial baud rate. The loop() function runs forever and it has the functions to monitor the various sensors such as alcohol sensor, temperature sensor, light sensor, accelerometer, ultrasonic sensor, seat belt, IR sensor, GPS.The acceleration of the vehicle at the time of crash is measured using an accelerometer ADXL335. It is a 3-axis MEMS accelerometer measuring static and dynamic acceleration. The important lights in a vehicle are the flashers, the brake lights, headlights and the rear lights. A wheel speed module is used to determine the rotations per minute (rpm) of the vehicle and hence the speed of the vehicle at the time of crash. It consists of Reed Switches and magnets. The magnets are attached to the rear wheels of the vehicle. The engine temperature of the vehicle is measured using a temperature sensor DS18B20. A push button is used to determine whether the driver wore the seat belt at the time of crash. Various warnings are given to the driver using a range of sensors. An alcohol sensor module consisting of MQ3 gas sensor is used to warn the driver when he/she is high on alcohol. and we check all this by proteous .
The main goal of our project is to develop a prototype of black box for vehicle diagnosis that can be installed into any vehicle . According to the World Health Organization (WHO), more than a million people in the world are losing their life each year because of transportation-related accidents . To address this problem black box takes on the role of the investigator to determine the cause, thereby helping to propose measures to protect lives. The system also assists the insurance companies with their claim settlements . The importance of such system drove the European Union (EU) to establish a policy that makes it mandatory for all vehicles to be equipped with black boxes . It is difficult to establish the exact cause of an accident from these. To overcome this shortcoming, an Automobile Black Box system that combines both of these aspects is proposed. Apart from the accident analysis by objectively tracking what occurs in vehicles, the proposed system sends short message indicating the position of vehicle by GPS system to family member, emergency medical service (EMS) and nearest hospital so that first aid can be provided as early as possible. The proposed system also incorporates a security module, which employs data encryption to secure the stored data on the SD card . The system aims to achieve accident analysis by strategically placed sensors, in and around the vehicle.
The output of the sensors is read and communicated to Controller . The data is stored on the SD card.The acceleration of the vehicle at the time of crash is measured using an accelerometer ADXL335. It is a 3-axis MEMS accelerometer measuring static and dynamic acceleration. A wheel speed module is used to determine the rotations per minute (rpm) of the vehicle and hence the speed of the vehicle at the time of crash. It consists of Reed Switches and magnets. The magnets are attached to the rear wheels of the vehicle. The engine temperature of the vehicle is measured using a temperature sensor DS18B20. A push button is used to determine whether the driver wore the seat belt at the time of crash. Various warnings are given to the driver using a range of sensors. An alcohol sensor module consisting of MQ3 gas sensor is used to warn the driver when he/she is high on alcohol. An Ultrasonic Ranging Module HC-SR04 is used for distance gauge. The driver is provided warning if the vehicle approaches too close to the vehicle in front or rear. A GPS system is used to determine the co-ordinates of the accident location in order to send it along with an alert message to pre-stored numbers using a GSM module. The GPS module is interfaced to Arduino using UART protocol.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| alcohol sesor | Equipment | 1 | 380 | 380 |
| accelerometer sensor | Equipment | 1 | 400 | 400 |
| seat belt sensor | Equipment | 1 | 100 | 100 |
| GPS module | Equipment | 1 | 570 | 570 |
| GSM module | Equipment | 1 | 1550 | 1550 |
| LCD | Equipment | 1 | 250 | 250 |
| camera | Equipment | 2 | 1249 | 2498 |
| power supply | Equipment | 1 | 155 | 155 |
| Arduino | Equipment | 1 | 1150 | 1150 |
| jumper wires | Equipment | 1 | 172 | 172 |
| temprature sensor | Equipment | 1 | 150 | 150 |
| RTC | Equipment | 1 | 300 | 300 |
| Total in (Rs) | 7675 |
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