[PDF][PDF] Artificial intelligence-based detection of fava bean rust disease in agricultural settings: an innovative approach

H Slimani, J El Mhamdi, A Jilbab - International Journal of …, 2023 - researchgate.net
The traditional methods used to identify plant diseases mostly rely on expert opinion, which
causes long waits and enormous expenses in the control of crop diseases and field …

Small object detection in diverse application landscapes: a survey

Iqra, KJ Giri, M Javed - Multimedia Tools and Applications, 2024 - Springer
The importance of object detection within computer vision, especially in the context of
detecting small objects, has notably increased. This thorough survey extensively examines …

Safety on Wheels: Computer Vision for Driver and Passengers Monitoring

AM Abuomar, YA Ahmed… - 2023 International Mobile …, 2023 - ieeexplore.ieee.org
Monitoring passengers and their actions inside a vehicle is one of the most important issues
for road and human safety in the whole world. However, the problem revolves around road …

Soft Computing Techniques for Driver Alertness

PPS Reddy, GSP Khadyoth, VSG Raman… - Journal of Physics …, 2022 - iopscience.iop.org
There has been an alarming increase in the number of accidents that occur due to
drowsiness while driving. In order to reduce roadside accidents, the detection of driver …

Investigation of MobileNet-Ssd on human follower robot for stand-alone object detection and tracking using Raspberry Pi

V Kamath - Cogent Engineering, 2024 - Taylor & Francis
Human following is a very useful task in the robotics industry. With modern compact-sized
robots, there is a demand for further investigated computer-vision solutions that can perform …

Deep Learning based Driver Drowsiness Detection

D Buddhi, P Negi - 2022 International Interdisciplinary …, 2022 - ieeexplore.ieee.org
Sleepy and distracted drivers are increasingly being seen as major causes of fatal car
accidents across the globe. This happens most often because the driver hasn't had enough …

[PDF][PDF] Towards a system for real-time prevention of drowsiness-related accidents

A Khadraoui, E Zemmouri, Y Taki, M Douimi - Int J Artif Intell, 2024 - researchgate.net
Traffic accidents always result in great human and material losses. One of the main causes
of accidents is the human factor, which usually results from driver's fatigue or drowsiness. To …

Driver Drowsiness Detection Using Deep Learning Models Based On Different Camera Positions

IDB Rozaimi, FHK Zaman… - … on Information and …, 2023 - ieeexplore.ieee.org
Driver drowsiness is among the most critical causes of vehicular incidents. Consequently, a
solution to mitigate this problem is exponentially increasing where an intelligent vehicle …

Drowsy Driving Detection System Using Face Detection

I Mirabdullayev, MUA Ayoobkhan… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Drowsy driving poses a major threat to road safety, demanding effective solutions. To
address this issue, this paper introduces a cutting-edge drowsy driving detection system that …

A Machine Intelligence Model to Detect Drowsiness for Preventing Road Accidents

BP Doppala, B Vamsi… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
Road accidents are one of the major issues to be addressed in recent days. Drowsiness
while driving the vehicles is one of the major causes among them. Statistics state that …