Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving.The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person?s eyes are closed for a few seconds. This system
Driver Drowsiness Detection System
Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving.The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person’s eyes are closed for a few seconds. This system will alert the driver when drowsiness is detected.
The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person’s eyes are closed for a few seconds. This system will alert the driver when drowsiness is detected.
Step 1 – Take image as input from a camera.
Step 2 – Detect the face in the image and create a Region of Interest (ROI).
Step 3 – Detect the eyes from ROI and feed it to the classifier.
Step 4 – Classifier will categorize whether eyes are open or closed.
Step 5 – Calculate score to check whether the person is drowsy.
The benefit of this Python project is to build a drowsiness detection system that will detect that a person’s eyes are closed for a few seconds. This system will alert the driver when drowsiness is detected. And prevent from accidents which is causes by driver drowsiness.
The technology which we use to built this system is
Hardware
Software
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Micro USB cable | Equipment | 1 | 500 | 500 |
| Buzzer | Equipment | 1 | 2000 | 2000 |
| Pi Camera Module | Equipment | 1 | 10000 | 10000 |
| Raspberry Pi 3 | Equipment | 1 | 7000 | 7000 |
| Total in (Rs) | 19500 |
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