Smartphone-Based Accident Detection and Reporting Application

Smartphone-Based Accident Detection and Reporting ApplicationĀ 

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Project Domain / Category

Mobile App (Android)

Abstract / Introduction

Road safety is one of the main troubles for the authorities in addition to for the public. Over the years, the wide variety of injuries has extended. There is increasingly more causalities due to avenue accidents. Most of the time, drivers are on my own and in case of any mishap or casuality, there’s no precise device through which his/her family participants timely knowledgeable. There are techniques available which can be using the vehicle integrated automated detection systems. These approaches are working great but those are pricey and not to be had in every car. We need a value-effective approach to this problem. Now, mobile technologies have sufficient processing strength and sensors available on smartphones that we can be applied for specific purposes.

In this undertaking, we’re going to endorse a cost effective and accurate smart-telephone primarily based answer for coincidence detection and reporting. The proposed answer will use unique sensors constructed into the smartyphone along with sensors velocity (via GPS and accelerometer), G-Force (thru accelerometer of a phone), and Noise (through the microphone of a cellphone) to hit upon and report the coincidence. This gadget may be capable of locate accidents at a low speed. Using these sensors, the proposed application might be capable of continuously gather and approaches the information/records each time any accident happens ( automobile collisions).. When the car collides with another car, it’s going to check the information amassed from the sensors. On the premise of statistics processing, it then fits the processed information with a few precise situations to decide whether an coincidence has took place or no longer. There are some threshold values noted in the literature. If the values amassed from sensors move the edge value it method the twist of fate has occurred. When the conditions fit, an alarm is generated to avoid fake reporting. Notifications will now not be generated to ambulance and circle of relatives members if the driver cancels the alarm. If the motive force does not reply within 10 seconds, the device will send a notification to each the nearest ambulance and family member. The machine will incorporate the database of nearby rescue facilities and facts of motive force family participants which he/she will upload while growing his/her profile. After this, the device will become aware of the closest rescue centre to document coincidence and to call the ambulance. The principal objective of this system is to enhance the accuracy of twist of fate detection.

Following will be the useful necessities of the proposed device (utility).

Functional Requirements:

FR1: System shall be capable of create a person profile.

FR2: There will be an administrator account to keep the facts about hospitals and rescue facilities.

FR3: System shall include hospitals and rescue centers records.

FR4: System shall be able to detect the coincidence.

FR5: System shall be capable of generate an alarm.

FR6: System shall be capable of locate nearest rescue centre on the premise of location of passed off twist of fate.

FR7: System shall be able to generate notifications to nearest rescue centre.

FR8: System will be capable of ship text message to own family contributors.

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