Nowadays, many noticeable continues efforts are taken in the vehicle industry to develop robust intelligent systems that control and monitor the vehicles during operational time to lower the side effects of some abnormal conditions such as sliding and spinning; because of their main role in affecting the human safety and the vehicle life-time as well as the costs related to maintenance. Therefore, the importance of manipulating and controlling these special statuses with respect to safety and cost are the main motivations behind conducting this research work. In this paper a conceptual prototype of a safety-related platform for monitoring and recognizing the vehicles states by means of vibration sensors incorporated with incremental rotary encoders is presented. Additionally, the proposed approaches and algorithms to detect the vehicle status based on the captured sensory data are also presented.