driver drowsiness detection system

The inputs from video and handgrip sensors will be processed to decide on driver drowsiness. If driver is not fully alert , the alarm can be turned on to assist the driver.

2025-06-28 16:32:12 - Adil Khan

Project Title

driver drowsiness detection system

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

The inputs from video and handgrip sensors will be processed to decide on driver drowsiness. If driver is not fully alert , the alarm can be turned on to assist the driver.

Project Objectives

The aim of this project is to develop a prototype of driver drowsiness detection system

The driver drowsiness detection algorithm will be implemented

The algorithm performance will be validated in varying environments

A complete hardware based prototype will be prepared for demonstration

Project Implementation Method

The system will be implemented in daily moving vehicles on roads that will overcome on road accidents due to drowsiness, hence it will be useful for saving the human lives as well as to reduce the financial losses.

Benefits of the Project

Benefit of our project is to overcome on the road accidents and lives and fianancial  loses due to drowsiness/fatigue  of any driver.  

Technical Details of Final Deliverable

The final prototype will be a rasberi pi controller based driver assist system that will employ high resolution camera, hand grip sensor.

Final Deliverable of the Project HW/SW integrated systemCore Industry TransportationOther IndustriesCore Technology Wearables and ImplantablesOther TechnologiesSustainable Development Goals Good Health and Well-Being for People, Decent Work and Economic GrowthRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 49000
Rasberri pi 3 controller Equipment21000020000
HD camera Equipment12000020000
Hand grip sensor Equipment330009000

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