The transportation system has been a bit of a progressing of individuals. One cannot picture the presence without vehicles. To suit the gigantic number of people, the amount of vehicles furthermore has been extended rapidly. This moreover incited an extended number of disasters. The incident evading gauges used now day by day are in general static and old. In like manner, there is no real disaster area framework. This assessment proposes Smart Vehicle Monitoring System & SVMS for the early ID of accidents and to hinder thefts. SVMS uses IoT development to screen the vehicle tenaciously and to access and control remotely. The IoT gadgets put in vehicles are organized using Raspberry Pi (RPi) that knows about sensors to distinguish incidents immediately. The RPi is moreover acquainted with a camera to find the earnestness of the setback. To recognize the earnestness, SVMS uses an AI-based picture request model. Right when the setbacks happen the SVMS remembers it expeditiously and finds the reality of the accident. By then, the system will instantly light up that to the authorities. The SVMS is furthermore acquainted with the GPS structure. This will allow the SVMS to continually screen the territory of the vehicle. This data will be used to find the region of the vehicle during a disaster or theft. The results of the SVMS system were promising similarly as gainfully recognizing the setbacks, finding the earnestness of accident and perceiving the territory of the vehicle.
SVMS, GPS, Raspberry Pis, GSM, UNO Arduino, Accelerometer Sensor, Vehicle Theft, Severity Detection
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