It is observed that the majority of the accidents occur due to the driver's negligence of traffic and safety rules. Therefore, a system monitoring the speed and other desired automobile parameters can be installed in the automobile to warn the driver. This paper presents a wireless sensor network-based controlling and monitoring of automobile parameters, as a single unit. The accident-avoidance measures used currently are very less and also there's no correct accident detection mechanism. This study proposes a good Vehicle observance System for early detection of accidents and additionally to stop thefts. VMS uses machine learning based mostly image classification model. once the accidents happen the SVMS detects it directly and finds the severity of the accident. Then the system can directly inform that to the authorities and it is used to collect the details during the accident and it is transmitted to the police station. The sensors are connected with the vehicle to spot all the parameters like steering angle, speed, crash, safety belt wearing or not. All these details are stored in the webserver and during investigation it can be retrieved. It acts like a black box. At the time of crash, all these details are transferred to the insurance agencies to identify the real reason.
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