Volume : 9, Issue : 6, JUN 2023
NATIONAL CONFERENCE ON INNOVATIONS IN COMPUTING TECHNOLOGIES (NCICT'23)
ACCIDENT CONTROL USING IOT
MRS. M.GAYATHRI DEVI, T.THANGADURAI, S.CHANDRU, P.MANIVASAGAM
Abstract
One of the common issues which people try to solve with vehicle purchasing. The increasing amount of vehicles creates mismanagement in controlling traffic leading to accidents. Accidents caused due to drunken drive, are increasing tremendously in this modern world. According to National Crime Records Bureau (NCRB), 1.5 percent of total 4.6 lakh road accidents were caused by driving under the influence of alcohol resulting in 6,295 injuries. In order to prevent accidents effectively the proposed system can be implemented. In this system, we monitor the level of alcohol consumption and heart beat rate. If the driver is identified with drunken drive, then the vehicle ignition system will stop which makes the drunken driver unable to move the vehicle resulting in accident prevention. And also, if there is any abnormal changes in heart beat rate, then the current status of the driver is send to their friends using IoT. Since practical implementation in Automobile is beyond the scope of this project, we are implementing the proposed system with a DC Motor. Node MCU acts as a controller in this system. Although accidents happen due to various factors other than traffic management, such as unstable weather, reckless driving, faulty vehicles or maybe road conditions. The most important part after an accident is to detect the accident and take immediate action upon detection. A real-time driver drowsiness detection system for driving safety. All this time we overlooked the fact that immediate aid to an accident scene can reduce the number of people getting traumatized, disabled or lose their precious lives due to lack of emergency facilities. So that we can help the injured right away, the chances of such unfortunate events can be reduced.
Keywords
MQ3 SENSOR, HEART RATE SENSOR, DC MOTOR , NODE MCU.
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