One of the human factors that cause traffic accidents is sleepiness. This is caused by the circadian rhythm or our body's biological clock which is influenced by body temperature, alertness level, and body energy level. The sleep detection system known as "Microsleep Detection Base On Arduino" is designed to detect heart rate and eye blinking data via Arduino. This tool uses an impulse sensor placed on the tip of the index finger and a proximity sensor placed on assistive devices such as glasses. The proximity sensor is an electronic sensor that can detect the presence of objects in the vicinity without any physical touch that is used to determine whether a person's eyes are open or closed. The method used in this study is the behavioral measure method, namely by paying attention to the movement of the blinking of the eye because if a person is sleeping, the distance between the two eyelids narrows, and the frequency of blinking decreases until he falls asleep. So if this happens the glasses will give a warning as soon as possible. Based on this background, the author's goal is to utilize or develop glasses as a tool that can provide a warning as quickly as possible to sleepy drivers to prevent traffic accidents. The results of this experiment can be helpful for the development of real-time sleep detection and help manage sleepiness to avoid accidents.