Implementation of haar cascade classifier and eye aspect ratio for driver drowsiness detection using raspberry pi

QR Code

Implementation of haar cascade classifier and eye aspect ratio for driver drowsiness detection using raspberry pi

Driver’s drowsiness is one of the leading contributing factors to the increasing accidents statistics in Malaysia. Therefore, the design and development of driver drowsiness detection based on image processing using Raspberry Pi camera module sensor interfacing with Raspberry Pi 3 board are proposed...

Full description

Bibliographic Details
Main Authors:	Kamarudin, Nora, Jumadi, Nur Anida
Format:	Article
Language:	English
Published:	HRPub 2019
Subjects:	QA76 Computer software
Online Access:	http://eprints.uthm.edu.my/689/ http://eprints.uthm.edu.my/689/1/DNJ9695_ae303c7c3c738e2a7d0a6afcce88a47b.pdf

Similar Items

Drowsiness detection system using eye aspect ratio technique
by: Sathasivam, Saravanaraj, et al.
Published: (2020)

Fatigue detection system with haar cascade classifier
by: Nor Sany, Nor Saiful Amierrul, et al.
Published: (2021)

Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems †
by: Zainah, Md Zain, et al.
Published: (2023)

Raspberry Pi based Cyber physical system for driver monitoring
by: Ho, Jeng Hung
Published: (2023)

Driver Drowsiness Detection System
by: Ranjitha, M.M., et al.
Published: (2024)

Smart parking guidance system using 360o camera and haar-cascade classifier on IoT system
by: ., Salma, et al.
Published: (2019)

Implementing Lane Departure Warning System on Raspberry Pi
by: Chee, Winserng
Published: (2016)

Implementation Of Elevator Control System Using Raspberry PI
by: Saad, Muhamad Tarmizi
Published: (2018)

Intelligent parking guidance system of image recognition using HAAR cascade classifier / Abdul Rahman Mohamad Rom
by: Mohamad Rom, Abdul Rahman
Published: (2020)

Automated house by using raspberry PI
by: Badri, Shaharudin
Published: (2014)

Pothole detection with raspberry PI 4
by: Lim, Wen Jing
Published: (2022)

Real-time driving monitoring system for new drivers using 360° camera with raspberry PI
by: Cho, Wei Tuck
Published: (2020)

Driver drowsiness detection using different classification algorithms
by: Nor Shahrudin, Nur Shahirah, et al.
Published: (2020)

Object detection system using haar-classifier
by: Wan Najwa, Wan Ismail
Published: (2009)

Smart Irrigation System Using Raspberry Pi
by: Sahrom, Ahmad Syamil, et al.
Published: (2020)

Digital forensics investigation framework for Raspberry Pi
by: Manavi, Sina
Published: (2015)

Development of a driver drowsiness monitoring system using electrocardiogram
by: Nor Shahrudin, Nur Shahirah, et al.
Published: (2018)

A review of ECG data acquisition for driver drowsiness detection
by: Nor Shahrudin, Nur Shahirah, et al.
Published: (2020)

Driver's Face Tracking Based On Improved CAMShift for Drowsiness Detection
by: Jie, Ma, et al.
Published: (2013)

Developing fish feeder system using Raspberry Pi
by: Hidayatul Nur, Hasim, et al.
Published: (2017)

Developing fish feeder system using Raspberry Pi
by: Hidayatul Nur, Hasim, et al.
Published: (2017)

Physical chess game tracking using Raspberry Pi
by: Yee, Wei Jun
Published: (2024)

Facial Recognition Door Lock Using Raspberry Pi
by: Anuar, Muhammad Haris Azman
Published: (2018)

On-Board Data Handling For Cubesat Using Raspberry Pi
by: Zainudin, Muhammad Hakiim
Published: (2018)

IOT – eye drowsiness detection system by using intel edison with gps navigation
by: Auni Syahirah, Abu Bakar, et al.
Published: (2019)

IoT – eye drowsiness detection system by using Intel Edison with GPS navigation
by: Rohana, Abdul Karim, et al.
Published: (2018)

Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier
by: Siow, Shien Loong
Published: (2018)

Face detection based on Haar cascade and Convolution Neural Network (CNN)
by: Mohd Ariffin, Noor Afiza, et al.
Published: (2025)

The study of time domain features of EMG signals for detecting driver’s drowsiness
by: Faradila, Naim, et al.
Published: (2022)

Development of air quality measurement system using raspberry Pi
by: Mohd Pu'ad, Muhamad Farhan, et al.
Published: (2018)

HOMENAS with RASPBERRY PI / Nik Aiman Shafik Nik Shukri
by: Nik Shukri, Nik Aiman Shafik
Published: (2018)

Research and design voice control camera using raspberry PI
by: Janani, V., et al.
Published: (2019)

Experiment tests on single phase inverter using Raspberry Pi
by: Zulkifli, Shamsul Aizam, et al.
Published: (2017)

Automated rescuing boat tracking system using raspberry pi
by: Norzeli, Adlan Nafiz, et al.
Published: (2021)

Refurbishment And Upgrading The Different Types Of Motor Using Raspberry Pi
by: Sageman, Salmiyah
Published: (2017)

Development Of Iot System With Raspberry Pi For Switchgear Condition Monitoring
by: Fouzi, Muhammad Hafiz Azri Mohd
Published: (2017)

The feasibility of bitscope raspberry pi for monitoring voltage and capturing data
by: Hasan Ba-Btain, Faisal Abdulkarem
Published: (2022)

Driver drowsiness detection using back-propagation neural network / Endratno Ibrahim
by: Ibrahim, Endratno
Published: (2006)

Drowsiness detection for car assisted driver system using image processing analysis
by: Ani Syazana, Jasni
Published: (2010)

Botanical vegetables recognition on Raspberry Pi using single shot detector (SSD)
by: Iqbal Mortadza, M., et al.
Published: (2024)