Prediction of Vehicle Status and Alerting System

An increase in automobile vehicle also increases the job of predicting the vehicle status . Predicting the vehicle status includes predicting the accidental smoke and LPG gas and also monitor them by give audible and visible alerts . Another most important Adxl335 is used when unnecessary vibrations and tilts in the vehicle.This projects aims to have safety for the vehicle and passengers. Model includes the GPS tracker through this we can get the location and GSM is used to send the relevant vehicle location values as a SMS . So by this the guardians or else the vehicle owner immediately gets the message and would take an action. We may use this technique to decrease lengthen the life of our vehicles. This project intends to develop an vehicle tracking. The components of this tracking system are a GPS receiver, The user's mobile device will receive the position information. GAS, SMOKE, and ADXL335 sensors in this system are used to detect status of the vehicle. The esp8266 Wi-Fi module used to upload sensor data, together with the date and time, to the Thingspeak cloud. If there is any abnormality, a buzzer will sound an audible warning. In the event of an accident, the vehicle will use GSM and GPS to send an alert SMS to the predetermined mobile number along with the location. We created a system called an IoT-based vehicle monitoring system that allows us to easily monitor all vehicles in order to monitor them all. In this project, the Internet of Things is crucial. The amount of smoke and gases is monitored by exhaust sensors, and with the help of IOT, the value is updated in the cloud. This makes it simple for the owner of the car and the transport agency and an individual to keep an eye on it.