scholarly journals A New Roadway Eventual Obstacle Detection System Based on Computer Vision

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5109
Author(s):  
Mariano Gonzalez-de-Soto ◽  
Rocio Mora ◽  
José Antonio Martín-Jiménez ◽  
Diego Gonzalez-Aguilera
Keyword(s):  
Computer Vision ◽  
Open Source Software ◽  
Detection System ◽  
Low Cost ◽  
Obstacle Detection ◽  
Road Accidents ◽  
The Past ◽  
Video Images ◽  
Infra Red ◽  
Different Types

A new roadway eventual obstacle detection system based on computer vision is described and evaluated. This system uses low-cost hardware and open-source software to detect and classify moving elements in roads using infra-red and colour video images as input data. This solution represents an important advancement to prevent road accidents due to eventual obstacles which have considerably increased in the past decades, mainly with wildlife. The experimental evaluation of the system demonstrated that the proposed solution detects and classifies correctly different types of moving obstacles on roads, working robustly under different weather and illumination conditions.

A Review on Snake Robot Locomotion, Modelling, and Controlling in Challenging Environment

2020 ◽  
Vol 17 (2) ◽  
pp. 558-569
Author(s):  
Areej Ghazi Abdulshaheed ◽  
Mohamed Bin Hussein ◽  
Mohd Azuwan Mat Dzahir ◽  
Shaharil Mad Saad ◽  
Rohani Othman
Keyword(s):  
Detection System ◽  
Obstacle Detection ◽  
Complex Environment ◽  
Snake Robot ◽  
Robot Locomotion ◽  
Surrounding Environment ◽  
Different Types ◽  
Common Strategy ◽  
Challenging Environment ◽  
Robot Body

The flexibility of the snake robot body and its ability to adapt to different types of terrain attracted the attention of researchers to the great possibilities of its application in inspection, rescue, and searching tasks. These tasks require the robot to have the ability to navigate smartly in a complex environment (CE), which is considered to be one of the most critical challenges in the robotics field. The robot should be able to sense the surrounding environment and overcome different types of obstacles. In this paper, we have presented a review of the different type of snake robot locomotion and the controlling strategies in an environment with obstacles. We focus on avoidance obstacle locomotion as it is considered to be the most common strategy for dealing with obstacles. In addition, various types of modeling and controlling of locomotion with the presence of obstacles are discussed. Finally, a recommendation on the introduction of an obstacle detection system (ODS) and sensor fusion technology is given.

scholarly journals MASK DETECTION SYSTEM FOR COVID-19 SCENARIO USING COMPUTER VISION

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
Dr. Prakash Prasad ◽  
Mukul Shende ◽  
Mayur Karemore ◽  
Lucky Khobragade ◽  
Amit Dravyakar ◽  
...  
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Detection System ◽  
Face Mask ◽  
World Health ◽  
Public Places ◽  
Learning Module ◽  
Different Types ◽  
Health Organization ◽  
The Impact

The new pandemic of (Coronavirus Disease-2019) COVID-19 continues to spread worldwide. Every potential sector is experiencing a decline in growth. (World Health Organization) WHO suggests that Wearing Face Mask can reduce the impact of COVID-19. So, This Paper Proposed a system that controls the growth of COVID-19 by finding individuals who don't wear masks in populated areas like malls, markets where all public places are under surveillance with closed-circuit television cameras (CCTV). When a person without a mask is found, the corresponding authority is informed by the CCTV network. And it can calculate the number of people that do not wear the mask and emit an audible signal to inform the authority. A deep learning module is trained on a dataset composed of images of people wearing different types of masks and people without masks collected from various sources. It also contains some confusing images that help the model to achieve greater precision than other models. This model will use the dataset to build a COVID-19 face mask detector with computer vision using Computer Vision. This approach allowed extracting even the details from the pixels

scholarly journals High-Precision Low-Cost Gimballing Platform for Long-Range Railway Obstacle Detection

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 474
Author(s):  
Elio Hajj Assaf ◽  
Cornelius von von Einem ◽  
Cesar Cadena ◽  
Roland Siegwart ◽  
Florian Tschopp
Keyword(s):  
Long Range ◽  
High Precision ◽  
High Speed ◽  
Detection System ◽  
Low Cost ◽  
Obstacle Detection ◽  
Numerical Control ◽  
Railway Network ◽  
Lever System ◽  
Novel Approach

Increasing demand for rail transportation results transportation by rail, resulting in denser and more high-speed usage of the existing railway network, making makes new and more advanced vehicle safety systems necessary. Furthermore, high traveling speeds and the greatlarge weights of trains lead to long braking distances—all of which necessitates Long braking distances, due to high travelling speeds and the massive weight of trains, necessitate a Long-Range Obstacle Detection (LROD) system, capable of detecting humans and other objects more than 1000 m in advance. According to current research, only a few sensor modalities are capable of reaching this far and recording sufficiently accurate enoughdata to distinguish individual objects. The limitation of these sensors, such as a 1D-Light Detection and Ranging (LiDAR), is however a very narrow Field of View (FoV), making it necessary to use ahigh-precision means of orienting to target them at possible areas of interest. To close this research gap, this paper presents a novel approach to detecting railway obstacles by developinga high-precision pointing mechanism, for the use in a future novel railway obstacle detection system In this work such a high-precision pointing mechanism is developed, capable of targeting aiming a 1D-LiDAR at humans or objects at the required distance. This approach addresses To address the challenges of a low target pricelimited budget, restricted access to high-precision machinery and equipment as well as unique requirements of our target application., a novel pointing mechanism has been designed and developed. By combining established elements from 3D printers and Computer Numerical Control (CNC) machines with a double-hinged lever system, simple and cheaplow-cost components are capable of precisely orienting an arbitrary sensor platform. The system’s actual pointing accuracy has been evaluated using a controlled, in-door, long-range experiment. The device was able to demonstrate a precision of 6.179 mdeg, which is at the limit of the measurable precision of the designed experiment.

scholarly journals Fatigue Detection Using Computer Vision

2010 ◽  
Vol 56 (4) ◽  
pp. 457-461 ◽  
Author(s):  
Mitesh Patel ◽  
Sara Lal ◽  
Diarmuid Kavanagh ◽  
Peter Rossiter
Keyword(s):  
Computer Vision ◽  
Detection System ◽  
Face Image ◽  
Blink Rate ◽  
Eye Detection ◽  
Skin Segmentation ◽  
Video Images ◽  
Long Duration ◽  
The Face ◽  
Fatigue Detection

Fatigue Detection Using Computer VisionLong duration driving is a significant cause of fatigue related accidents of cars, airplanes, trains and other means of transport. This paper presents a design of a detection system which can be used to detect fatigue in drivers. The system is based on computer vision with main focus on eye blink rate. We propose an algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the iris of the eye using the binary image. The advantage of this system is that the algorithm works without any constraint of the background as the face is detected using a skin segmentation technique. The detection performance of this system was tested using video images which were recorded under laboratory conditions. The applicability of the system is discussed in light of fatigue detection for drivers.

scholarly journals Smart Alarm System (Drowsiness Detection System Review Paper)

2021 ◽  
Vol 9 (12) ◽  
pp. 2065-2071
Author(s):  
Chiranjit Das
Keyword(s):  
Computer Vision ◽  
Face Detection ◽  
Convenient Method ◽  
Review Paper ◽  
Detection System ◽  
Alarm System ◽  
Long Period ◽  
Alarm Systems ◽  
Different Types ◽  
System Review

Abstract: With the increase in automative population, accident rates are rising rapidly, one of the major reasons is the state of drowsiness or fatigue. Such fatal incidents can be prevented if the driver is warned in time. With time, several drowsiness alarm systems are been implemented, the system monitors driver’s movements through various techniques, one of the most considerable one is face detection, Open Computer Vision is widely used to detect driver’s movements for a long period of time. A comparative study on different types of approach is summarized in this paper. The main agenda is to help the society to understand more about the techniques and find the most convenient method for them. Keywords: Drowsiness, Face Detection, Mouth Yawn Detection, Open Computer Vision

scholarly journals Low-cost test setup for motorcycle protective clothing abrasion examination

2021 ◽  
Vol 2 (2) ◽  
pp. 196-207
Author(s):  
Dietrich Spädt ◽  
Imane Moulefera ◽  
Al Mamun ◽  
Marah Trabelsi ◽  
Lilia Sabantina
Keyword(s):  
Abrasion Resistance ◽  
Protective Clothing ◽  
Low Cost ◽  
Good Alternative ◽  
Test Method ◽  
Road Accidents ◽  
Testing Procedures ◽  
Test Standards ◽  
Physical Injuries ◽  
Different Types

The personal protective equipment and protective clothing for motorcyclists reduce physical injuries to victims of road accidents. Therefore, it is important that the protective clothing complies with a number of test standards, which must be taken into account during the manufacturing process. However, the EN17092-1 to 6 standard does not necessarily correspond to a real accident situations and these testing procedures are time consuming. In this study, a simple and inexpensive self-constructed device for testing the abrasion resistance of motorcycle protective clothing was developed and evaluated. Different types of textiles and leather with and without coating were tested and compared. According to the results of this study, not only leather but also textiles offer good abrasion resistance results. The results show that the strength of an impact significantly changes the abrasion resistance. The developed test method can provide a good alternative as a low-cost and simple test method of abrasion resistance of motorcycle protective clothing.

A REVIEW OF WAVELET-BASED EDGE DETECTION METHODS

2012 ◽  
Vol 26 (07) ◽  
pp. 1255011 ◽  
Author(s):  
P. S. P. WANG ◽  
JIANWEI YANG
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Pattern Recognition ◽  
Edge Detection ◽  
Main Idea ◽  
Detection Methods ◽  
Local Regularity ◽  
The Past ◽  
Different Types ◽  
Key Issues

Edges are prominent features in images. The detection and analysis of edges are key issues in image processing, computer vision and pattern recognition. Wavelet provides a powerful tool to analyze the local regularity of signals. Wavelet transform has been successfully applied to the analysis and detection of edges. A great number of wavelet-based edge detection methods have been proposed over the past years. The objective of this paper is to give a brief review of these methods, and encourage the research of this topic. In practice, an image is usually of multistructure edge, the identification of different edges, such as steps, curves and junctions play an important role in pattern recognition. In this paper, more attention is paid on the identification of different types of edges. We present the main idea and the properties of these methods.

scholarly journals Controlled Wheelchair System Based on Gyroscope Sensor for Disabled Patients

2018 ◽  
Vol 15 (4) ◽  
pp. 921-927
Author(s):  
Auns Q. H. Al-Neami ◽  
Saba M. Ahmed
Keyword(s):  
Detection System ◽  
Low Cost ◽  
Obstacle Detection ◽  
Ease Of Use ◽  
Forward Movement ◽  
Physically Disabled ◽  
Manual Wheelchair ◽  
Disabled Patients ◽  
Gyroscope Sensor

The objective of this study is to provide the physically disabled patients who had suffered from losing their extremities due to the accident, age or disease, with an easily controllable wheelchair. Those patients cannot use the manual wheelchair or electric wheelchair with joysticks due to their handicap. The movements of this wheelchair are controlled by head motions with the use of gyroscope sensor. The microcontroller is also used and it is programmed to make the wheelchair moves according to the corresponding motion from the patient’s head. Forward movement of the wheelchair due to tilting head forward, left tilt of the user's head will cause the wheelchair to move to the left and so on. An obstacle detection system is done by using ultrasonic sensors. This system showed very good results it will make the usage of this wheelchair safer as compared to standard ones. It will help in enhancing the quality of life for such people and make them less dependent on others. This wheelchair is low cost, provide ease of use and comfortable for the physically disabled patients.

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