Drowsiness Detection for Drivers using IoT

The challenges existing sleep monitoring system generate alarm sounds notification to the drivers when they are drowsy. They used computer vision method in that recognized face to detect drivers not eye. These are the current technology tenser flow, Keras etc. While driving there with a lot of noise in the surrounding, the drivers can easily divert from sleep. Alert the drivers by message to take some rest for sometimes is useless while driving driver don't use the mobile then it is not possible to see message. To overcome this problem, the proposed system helps to prevent driver drowsiness. Then set a vibrate motor under a driver seat. It does not affect the driver in any manner. By using vibrate methodology, it can help the driver awake from the sleep These are tools used in this project raspberry pi, pi camera, and vibration motor. Video can store the live recordings in external storage. Even though a network issue can prevent data from being stored if the car is in a hilly area, external storage is provided here to record video. Rotary encoder will measure steering wheel. The car will automatically switch off if the steering radius is not consistent.