before the driver actually feels drowsy, and alerts the driver. Chaos theory is applied for optimal state prediction and early detection of signs of drowsiness. Records of the driver's brain waves and driving data are stored on a cloud, and artificial intelligence analyzes big data to identify patterns of drowsiness detection. This enables prediction that takes various conditions such as driving routes and hours into consideration, while improving detection accuracy to accommodate individual differences as well.