Detection and Prevention of Wheel Unbalancing and Tire Burst in Moving Vehicles

Fatal accidents are increasing day-by-day due to the failure of wheel bearing, unbalancing of wheel and tyre bursting due to increase in the temperature. Bearing is the most important mechanical device on which the wheel performance of a vehicle depends. Lack of proper periodic maintenance of the bearing leads to the failure of bearing, which results in wheel misalignment. Hence, tyres with wheels come out from the axial in moving condition, which results in accidents. Bearing failure can also be due to bearing buckling, scratches, nicks, discoloration, corrosion and crack. This can be due to lack of lubrication or overheating etc. Also due to improper tyre pressure, harsh braking and increase in the temperature of the tyre, tyre gets heated up causing tyre bursting which leads to fatal accidents. The main objective is to detect tyre temperature and wheel alignment deviation, thereby providing indication through audio-visual system which prevents accidents of the vehicle and the driver from an injury or death. Hence, we have used ARDUINO UNO, ULTRASONIC SENSOR, LEDS, DHT11 SENSOR and BUZZER.

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Integrated Approach to Clean and Green Environment Estimation

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.37695 ◽

2021 ◽

Vol 9 (8) ◽

pp. 2123-2128

Author(s):

Akshitha Deeti

Keyword(s):

Air Quality ◽

Integrated Approach ◽

Ultrasonic Sensor ◽

Environmental Constraints ◽

The People ◽

Monitoring Applications ◽

Arduino Uno ◽

Environmental Air ◽

Surrounding Areas ◽

Day By Day

Abstract: This paper delineates a prototype for assessing, viewing, and estimating some environmental constraints such as temperature, humidity, toxic gas levels in intensely contaminated regions, and collection of garbage in the surrounding areas. This system was developed using the Arduino Uno microcontroller and various sensors namely DHT11, MQ-135, HC-SR04 Ultrasonic, it is a device of great scalability levels, price effectiveness and suitable for other environmental monitoring applications. Environmental air parameters directly have an effect on the current entity, and will amend from regularity or maybe every single second in a while, with a speedy manufacture beyond several decades earlier and dramatic increase of demand for individuals to observe the native air quality. The atmosphere is a tumultuous system, air quality is predisposed by several aspects and may vary hastily. Air constraints and quality directly have an effect on human’s normal lives, and also wellbeing of outside tasks. At present times, technologies are getting smarter day-by-day, as to clean the environment waste management system was developed by using Arduino. This Ultrasonic sensor is integrated to the microcontroller and is positioned on the top of the dustbin. If dustbin is not upheld then this can cause an insalubrious environment and further affects the people living in close proximities this article comprises comprehensive illustration of the system architecture, hardware and software requirements. The practicality of the system is validated through the publication of the outcomes achieved. Keywords: DHT11 sensor, MQ-135 sensor, HC-SR04 Ultrasonic sensor, Arduino UNO, Jumper wires.

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Diseño de un sistema perfilador de bajo costo y efectivo para la determinación de rugosidad en vías terrestres asfaltadas

Revista de Ingeniería Civil ◽

10.35429/jce.2019.10.3.10-18 ◽

2019 ◽

pp. 10-18

Author(s):

José Marcelino Gutiérrez-Villalobos ◽

Jatziri Yunuén Moreno-Martínez ◽

Xavier Chávez-Cárdenas ◽

Hiram Arroyo-Chávez

Keyword(s):

Climatic Conditions ◽

Flight Time ◽

Physical Contact ◽

Heavy Vehicles ◽

Physical Measurement ◽

Mechanical Device ◽

Great Precision ◽

Periodic Maintenance ◽

Roughness Index ◽

Quantitative Manner

The constant transit of trucks with large loads or too heavy vehicles circulating on the roadways of the national territory, causes premature deterioration of the asphalted freeways and roads, which keep country connected. All of this, in addition to the damage caused by the climatic conditions of the area or region where such communication roads are built. This work is focused on the design and construction a system capable of calculating and estimating the deterioration suffered on a road, avenue, street or road that are built with asphalted surfaces, which require periodic maintenance and occasionally their physical condition needs to be known in a quantitative manner. This equipment makes the measurements by means of a sensor that measures the flight time of the light (laser), as a mobile moves at constant speed on the study surface, opposite to the estimation with commercial equipments that require a mechanical or physical measurement by using the technique of half-car attached to a vehicle or the expensive optics profilers. The contribution of this project consists in the design of the electronic stage for data acquisition and the use of an economical but effective optical sensor, which is employed to calculate the roughness index with great precision, without the need for a mechanical device that has physical contact on the surface. With the methodology involving the equations of design, form of operation and validation.

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Methods of Vehicle Recognition and Detecting Traffic Rules Violations on Motion Picture Based on OpenCV Framework

Advances in Cyber-Physical Systems ◽

10.23939/acps2021.02.105 ◽

2021 ◽

Vol 6 (2) ◽

pp. 105-111

Author(s):

Yevhen Fastiuk ◽

◽

Ruslan Bachynskyy ◽

Nataliia Huzynets

Keyword(s):

Video Data ◽

Learning Technology ◽

The Road ◽

Vehicle Recognition ◽

Moving Vehicles ◽

Traffic Violations ◽

On The Road ◽

Apartment Complexes ◽

Day By Day ◽

Traffic Rules

In this era, people using vehicles is getting increased day by day. As pedestrians leading a dog for a walk, or hurrying to their workplace in the morning, we’ve all experienced unsafe, fast-moving vehicles operated by inattentive drivers that nearly mow us down. Many of us live in apartment complexes or housing neighborhoods where ignorant drivers disregard safety and zoom by, going way too fast. To plan, monitor and also control these vehicles is becoming a big challenge. In the article, we have come up with a solution to the above problem using the video surveillance considering the video data from the traffic cameras. Using computer vision and deep learning technology we will be able to recognize violations of rules. This article will describe modern CV and DL methods to recognize vehicle on the road and traffic violations of rules by them. Implementation of methods can be done using OpenCV Python as a tool. Our proposed solution can recognize vehicles, track their speed and help in counting the objects precisely.

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Author response for "The brain of the African wild dog. IV . The visual system"

10.1002/cne.25000/v3/response1 ◽

2020 ◽

Author(s):

Samson Chengetanai ◽

Adhil Bhagwandin ◽

Mads F. Bertelsen ◽

Therese Hård ◽

Patrick R. Hof ◽

...

Keyword(s):

Visual System ◽

Author Response ◽

African Wild Dog ◽

Wild Dog ◽

The Brain

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Review for "The brain of the African wild dog. IV . The visual system"

10.1002/cne.25000/v1/review2 ◽

2020 ◽

Keyword(s):

Visual System ◽

African Wild Dog ◽

Wild Dog ◽

The Brain

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Digital differential hysteresis iimage processing displays what the microscope acquires but the eye can't see

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100139585 ◽

1995 ◽

Vol 53 ◽

pp. 642-643

Author(s):

Klaus-Ruediger Peters

Keyword(s):

Image Processing ◽

Visual System ◽

High Precision ◽

Image Data ◽

Processing Technology ◽

Output Data ◽

Contrast Resolution ◽

Pixel Intensity ◽

Data Reading ◽

Hysteresis Properties

Differential hysteresis processing is a new image processing technology that provides a tool for the display of image data information at any level of differential contrast resolution. This includes the maximum contrast resolution of the acquisition system which may be 1,000-times higher than that of the visual system (16 bit versus 6 bit). All microscopes acquire high precision contrasts at a level of <0.01-25% of the acquisition range in 16-bit - 8-bit data, but these contrasts are mostly invisible or only partially visible even in conventionally enhanced images. The processing principle of the differential hysteresis tool is based on hysteresis properties of intensity variations within an image.Differential hysteresis image processing moves a cursor of selected intensity range (hysteresis range) along lines through the image data reading each successive pixel intensity. The midpoint of the cursor provides the output data. If the intensity value of the following pixel falls outside of the actual cursor endpoint values, then the cursor follows the data either with its top or with its bottom, but if the pixels' intensity value falls within the cursor range, then the cursor maintains its intensity value.

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Functional imaging of the visual system

Electroencephalography and Clinical Neurophysiology ◽

10.1016/s0013-4694(97)88161-1 ◽

1997 ◽

Vol 103 (1) ◽

pp. 56

Author(s):

H Spekreijse

Keyword(s):

Visual System ◽

Functional Imaging

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Newborn's Preference for Faces

European Psychologist ◽

10.1027/1016-9040.1.3.200 ◽

1996 ◽

Vol 1 (3) ◽

pp. 200-205 ◽

Cited By ~ 12

Author(s):

Carlo Umiltà ◽

Francesca Simion ◽

Eloisa Valenza

Keyword(s):

Visual System ◽

Structural Properties ◽

Sensory Properties ◽

Human Face ◽

System Experiment ◽

Face Experiment

Four experiments were aimed at elucidating some aspects of the preference for facelike patterns in newborns. Experiment 1 showed a preference for a stimulus whose components were located in the correct arrangement for a human face. Experiment 2 showed a preference for stimuli that had optimal sensory properties for the newborn visual system. Experiment 3 showed that babies directed their attention to a facelike pattern even when it was presented simultaneously with a non-facelike stimulus with optimal sensory properties. Experiment 4 showed the preference for facelike patterns in the temporal hemifield but not in the nasal hemifield. It was concluded that newborns' preference for facelike patterns reflects the activity of a subcortical system which is sensitive to the structural properties of the stimulus.

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