Abstract: The demand for engine oil monitoring system has increased recently due to the awareness of used engine oil pollution and as a cost reduction measure for the customer. Previously, many automotive manufacturers advised the customers to change their engine oil at a constant time (i.e., during service) or according to the mileage interval. There is a possibility that the engine oil is changed before the end of its lifetime which will incur higher maintenance cost to the customer. Furthermore, this situation will give bad input to the environment due to the excessive engine oil waste. This review paper described a potential mechanism for engine oil monitoring so that the oil is changed when deemed necessary. The research consists of data analysis, statistical analysis, intelligent system development, System on Chip (SoC) design, fabrication and testing. A statistical analysis of Multiple Linear Regression is used to predict the worst condition of the engine oil. Total Acid Number (TAN), Total Base Number (TBN), viscosity and oxidation level were chosen to be the main parameter for condition based monitoring purpose. A complete SoC design with Verilog Hardware Description Language (HDL) and FPGA implementation has been reviewed as a potential technique for the engine oil monitoring and changing time prediction system.