An IoT Based System for Accident Detection, Navigation and Emergency Services |
Author(s): |
| Krishika Sonkar , Smt. Kashibai Navale College Of Engineering ; Vrushali Khaire, Smt. Kashibai Navale College Of Engineering ; Anchal Kandurwar, Smt. Kashibai Navale College Of Engineering ; Mayuri Jadhav, Smt. Kashibai Navale College Of Engineering ; Prof. S. N. Uke, Smt. Kashibai Navale College Of Engineering |
Keywords: |
| Fingerprint Scanner, GPS, Android Application, Database Server, Arduino Nano328, Vibration Sensor, Ultrasonic Sensor, Buzzer |
Abstract |
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This paper presents autonomous accident prevention with security enabling techniques, accident detection system and emergency services .The main objective is to design an Arduino Nano controller to process the input from sensors which can run on an embedded system and to automatically locate the accident spot using GPS and alert concerned people like ambulance or hospital. It should be done automatically as the person involved in the accident may not be in a situation to send the information .The proposed system is composed of two separate design units: prevention unit and detection unit. Prevention unit consists of an ultrasonic sensor which detects nearby vehicles and alerts the driver using buzzer. Accident detection system comprises of a vibration sensor which senses the vibration. When the vibration is above the threshold, the accident is detected and it sends the notification to the relatives about the accident. When travelling starts, first the fingerprints of the passengers are scanned using the Fingerprint Scanner. As the collision occurs, vibration sensor will sense the vibration and will send it to the Arduino Nano microcontroller. Then, using GPS service available in the smart phone the location of the accident spot will be send to ambulance services, which in turn will select the hospital from the list and will inform the hospital about the details of the patient. |
Other Details |
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Paper ID: IJSRDV6I30128 Published in: Volume : 6, Issue : 3 Publication Date: 01/06/2018 Page(s): 2018-2020 |
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