Many methods have been taken to avoid accident by using drowsiness detection. Each technique has their own merits and demerits. The most practical approach to detect drowsiness was previously done by image processing techniques and by using eye blink patterns. These techniques had several drawbacks which led to the introduction of a new way of detecting drowsiness by using sensors. In the image processing technique, the driver is supposed to pick something on the floor. The moment he bends the system signal automatically alerts the user, since the user has moved away from his original position. Nowadays BCI has become popular for detecting drowsiness by capturing brain wave signals. Here, the detection is carried out by a wireless sensor which captures the brain waves and determines the    drowsiness, even with eyes open. The sensor works in combination with BCI, which transmits the EEG waves to the system. During relaxation the sensor can also detect the meditation level.

EEG-Electro Encephalogram, BCI-Brain Computer Interface.