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Automatic Speed Control and Accident Avoidance Of vehicle using Multi Sensors
Abstract
The Objective of this project is to develop a system to keep the vehicle secure and protect it by the occupation of the intruders. The main aim of the project to develop a system automatic speed control of vehicle and accident avoidance using eye blink sensor and ultrasonic sensor .whenever any obstacle is detected in running vehicle depends on distance automatically control the speed of vehicle. The driver in sleeping /drowse position the eye blink sensor detects the eye blink is not more than 30 sec eye closed vehicle stop the automatically, it is not manually. Give alarm to driver alert. The ultrasonic sensor system continuously sends signals and monitors any car or other obstacles are in front of car. The distance up to which ultrasonic sensor can work may be up to 4 meter. When any obstacle or vehicle detected by ultrasonic sensor system it will send signal to the embedded board. After receiving this signal embedded board sends a signal to the motor to reduce the car speed automatically which can control car speed immediately. Vehicle is controlled automatically without any manual operation when the vehicle is at 4 meter distance away from the front vehicle. Also give alarm to alert to the driver. Many accidents at High-ways are taking place due to the close running of vehicles, all of sudden, if the in front vehicle driver reduces the speed or applied breaks, then it is quite difficult to the following vehicle driver to control his vehicle, resulting accident. To avoid this kind of accident, the warning system, which contains alarm and display system can arrange at rear side of each and every vehicle. If any short circuit occurs in engine part smoke sensor detecting and give alert to driver and stop the vehicle.
... When an accident occurs, the vibration sensor gives the signal to the microcontroller, which sends the information to the Destination user through GSM network. The vehicle is tracked for every five minutes using GPS and the position of the vehicle is also send to the mobile in terms of latitude and longitude which is processed by the Microcontroller [2][3]. ...
The GPS based accident identification module contains a Micro Electro Mechanical System(MEMS), vibrating sensor, fire sensor, seat belt sensor and a GPS module connected to the processor unit (microcontroller Arduino). At the moment of accident, the vibration sensor or MEMS or fire sensor detects the accident gives the information to the microcontroller, which will display the information on LCD, switch on the buzzer unit and sends the information to the ambulance, police and owner/parents through GSM network. Here the system also provides the user to track the vehicle location, when he/she required. Here the position of the vehicle is also send to the mobile in terms of latitude and longitude. The main objective of this project is to detect the vehicle accident and transmit the location of the accident with the information of victim and type of accident to the medical help center and police control room. So medical help center and police control room will get the exact location by the geographical coordinates transmitted via message with the help of map.
... If the distance between two vehicles is 10 meter then green LED starts to glow which refers to safe state of the vehicle. Automatic Speed Control and Accident Avoidance Of vehicle using Multi Sensors [5].As the name indicates multi sensors, the sensors used are eyeblink sensor, smoke sensor and ultrasonic sensor. Speed is controlled automatically when obstacle is detected by means of ultrasonic sensor for up to 4 meters. ...
... Nowadays the road and traffic control systems are widespread in making the communities more alert in following the driving rules. Also, the safety mechanisms such as automatic speed control [1], collision warning system [2], and novel driver assistance systems came into existence for intelligent driving and safer travel. Moreover, due to the advent of sensors and IoT technologies [3], the automation of vehicles becomes more pervasive, and intelligent Transportation has been ascertained. ...
... The QR code includes black squares settled on a grid at the background of white that could read using the QR code scanner. 25 Various sensors were available to detect occupied and unused nests, such as ultrasonic sensors and infrared (IR) sensors. This paper uses the IR sensor for accuracy and reliability in any harsh environmental conditions. ...
The growing volume of traffic generates the ultimate challenge on the research for traffic control. Vehicle automation is getting closer to reality due to the massive mobile communication capacity provided by fifth‐generation (5G) wireless sensor networks (WSNs). Nowadays, manually controlling and monitoring vehicles at traffic rush hours is becoming difficult for safety control. Thus, the present condition requires providing control services and devices, which are functioning in real‐time worldwide mode through soft Internet of Vehicles (IoV) services over a software‐defined network (SDN). The SDN makes software integration and progress monitoring much easier and convenient. This article focuses on WSN‐based vehicle automation following controlling and observation through speech recognition and image processing. The article also demonstrates the working prototype of the proposed mechanism to automatically drive a car and to detect obstacles through voice and image‐based deep learning, respectively. Moreover, obstacle detection on the road is a major concern in vehicle controlling systems. The system detects every obstacle on roads using cameras mounted to cover the view for driver assistance. Once the obstacle found, it generates alert for the driver to stop a collision. All these experiments require a high‐speed communication platform for evaluations. A case study is used on vehicle observation and controlling using speech commands and image processing with real‐world on‐road vehicle data sets.
... But these processes are also quite slow. [4,5] proposed to use ultrasonic sensors to measure distance and to detect both the obstacles present in front of the vehicles and in the blind spot. These sensors can detect an object up-to 4 m in front of the vehicle. ...
This paper represents an economical accident prevention embedded system based on obstacle detection IR (infra-red) sensor, which will detect the lane indicator lines on the road. Receiving signals from these sensors, a microcontroller performs various functions like monitoring, motivation and control to prevent accidents due to overtaking and wrong lane driving. An RF (radio frequency) transmitter and receiver is applied to communicate with adjacent vehicles in a relevant range, which will help a driver to take decision in case of emergency overtake. A new model is also proposed by removing the use of external RF transmitter control, located at public zone (school, hospital) and when the vehicle receiver enter into the transmitter coverage area, controls the speed of vehicle. In lieu of this model our proposed model ensures that, the vehicle can recognize itself in a public zone and control its speed automatically by detecting two horizontal lines at a specific distance on the road effectively.
... When the driver is sleeping /drowse position the eye blink sensor detect the eye blink, if the driver's eye closed more than 30sec vehicle stop automatically and give indication to the driver, the ultrasonic sensor nonstop sends signals & monitor any obstacle in front of car. [7] E. Forward Collision Warning system This system is also known as collision avoidance system, pre-crash system, collision mitigating system. Forward collision warning system radar (all weather) and same time it uses laser (LIDAR) and camera (using image credit) to detect an imminent crash. ...
Agile helmet is basically a smart helmet. The core concept of an agile helmet reduces the risk of riding a motorcycle. The most important objective is to keep bike drivers safe. The engine will turn off deliberately if the motorist wears no helmet. Using this helmet whenever an accident occurs, GPS and GSM modules send the location information to the respective families. This is done by introducing the IR and vibratory sensor to the helmet. These sensors are set to certain threshold values. This project aims to save the lives of drivers and reduce the number of people killed in road accidents. It is one of the most advanced road safety systems projects ever undertaken. There are many smart helmets available in the market but this helmet is advanced as it is integrated with many sensors.KeywordsHelmet DetectionAccident DetectionAlcohol DetectionMicro ControllerLocation TrackingGPSGSMVibration sensor
Dyslexia refers to a learning disability that affects a wide range of individuals, specifically children worldwide. Subjects with dyslexia have different experiences with recognizing the letters and the words comprising it. While several modern technologies have been envisaged for the purpose of detecting dyslexia effectively, the means to assist this learning disorder is largely inadequate till date and technical interventions in this regard have either been quite slim or the solutions presently at hand fail to take up a pragmatic approach towards dealing with the issue at hand. In this research, we have adopted an application-based efficient approach which will assist and enhance the learning process of the people who have been medically diagnosed with dyslexia. People with dyslexia tend to have problems reading text or electronic documents in the conventional font which is largely used across various resources and this invariably slows down their learning process. Dyslexia Assistant aims to address this issue and takes up multiple feasible approaches which will help enhance the visual as well as auditory perception of the concerned person with dyslexia during the course of the learning process.KeywordsDyslexiaLearningOpen DyslexicTypefaceVisual PerceptionAudio PerceptionReader
Quantum computing (QC) is founded on the principles of quantum entanglement and the superposition of matter. It employs advanced computation techniques rather than conventional ones. To circumvent the limitations of conventional computing, new supercomputers employ quantum mechanics knowledge, which allows for the coherence of ones and zeros. Several fields like finance, healthcare, cybersecurity, transportation, climate change, and many more are taking advantage of QC. Indoor environmental quality (IEQ) is also one of the sectors that can benefit enormously with QC. The IEQ contains several parameters. Major IEQ parameters are indoor air quality, thermal comfort, acoustic comfort, and visual comfort. These parameters are associated with several physical, chemical, and biological components, which need critical computational considerations for accurate results and better understanding as the data can be highly overlapped. This chapter contains possible forthcoming research opportunities available in the collaborative work between “indoor environment” and “quantum computing.”
The Rain Sensing Car Speed Limiter is a system device that is installed and integrated in a vehicle to determine the rain condition and automatically limit the speed of the vehicle according to the rain condition level. It coincides with the automatic brake system that decreases the speed of the vehicle if it exceeds the speed limit. The speed is measured using a Hall Effect sensor that is installed in the vehicle’s wheel while the rain condition is measured using a moisture sensor. The Arduino attached in the control box processes the data and produces a response which is divided into three categories: (a) Extreme Rainfall, (b) Heavy Rainfall, and (c) Light Rainfall. The system is designed to determine the volume of the rainfall and a corresponding response on the vehicle speed will be instigated by the system based on the coded data. The functionality of the system tested is fully working. The system device is developed to minimize road accidents during rainy seasons.
Generally, a corpus serves as the source of data for various types of research. As such, there are several Malay corpora being developed to support the needs of the researchers. However, the various corpora of Malay text are distributed and not integrated, where some words are not included or missing in some corpora. The focus of this paper is to develop an integrated corpus that will combine four most comprehensive Malay corpora. The intention is to provide comprehensive coverage of Malay corpora which would be beneficial for any relevant work.
The 8051 Microcontroller Architecture, Programming & Applications"By
- J Kenneth
- Ayala
"The 8051 Microcontroller Architecture, Programming &
Applications"By Kenneth J Ayala.