Detecting Drowsiness, Tracking and Preventing Vehicles Collision, Thesis of Electronics engineering

This topic focuses on improving road safety by detecting driver drowsiness, tracking vehicle movement, and preventing collisions. Using sensors, cameras, and smart algorithms, the system monitors driver behavior and vehicle surroundings to identify risks. Alerts and safety actions help reduce accidents, improve awareness, and support safer transportation.

Typology: Thesis

2025/2026

Available from 12/29/2025

islam0307
islam0307 🇵🇰

4 documents

1 / 36

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Detecting Drowsiness, Tracking
and Preventing Vehicles
Collision
by Osama, Faraz Moeez
Submission date: 12-Aug-2021 12:31PM (UTC+0500)
Submission ID: 1630546003
File name: ng_Drowsiness,_preventing_vehciles_accident_and_tracking_1.docx (17.9M)
Word count: 5149
Character count: 26502
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff
pf12
pf13
pf14
pf15
pf16
pf17
pf18
pf19
pf1a
pf1b
pf1c
pf1d
pf1e
pf1f
pf20
pf21
pf22
pf23
pf24

Partial preview of the text

Download Detecting Drowsiness, Tracking and Preventing Vehicles Collision and more Thesis Electronics engineering in PDF only on Docsity!

Detecting Drowsiness, Tracking

and Preventing Vehicles

Collision

by Osama, Faraz Moeez

Submission date: 12-Aug-2021 12:31PM (UTC+0500)

Submission ID: File name: ng_Drowsiness,_preventing_vehciles_accident_and_tracking_1.docx (17.9M) 1630546003

Word count: Character count: 5149 26502