Optimization Of Image Processing Techniques In Developing Of Smart Parking System

A parking system is currently a necessity and a common facility found in the campus area of buildings and shops, the management and supervision of this parking lot generally uses third party assistance both in terms of technology and facilities used. At first the parking lot system was still conventional based by using guards in front of the gate and manually recording the entry and exit of the vehicle, a more sophisticated technology was using a camera that was combined with ticketing assistance, officers would check with photos when the car entered and left and strengthened with the use parking tickets, the two technologies have been implemented in many places, the weakness of the system is that there is a need for more than one operator to record and criminal acts will be difficult to detect if a type of vehicle of the same color is stolen because the data from the photos are indistinguishable, To solve this problem, a parking system was created with the help of image processing techniques by recording different types of vehicles even though they were of the same type and color, this system worked using computer vision algorithm rocks with a combination of OCR a Algorithm and surf algorithm, these two algorithms will help record vehicle number-plates while the surf algorithm will record the unique characteristics of the vehicle object in detail so that it will not be change

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Smart Parking System using Image Processing Techniques in Wireless Sensor Network Environment

Information Technology Journal ◽

10.3923/itj.2009.114.127 ◽

2009 ◽

Vol 8 (2) ◽

pp. 114-127 ◽

Cited By ~ 20

Author(s):

M.Y.I. Idris ◽

E.M. Tamil ◽

Z. Razak ◽

N.M. Noor ◽

L.W. Kin

Keyword(s):

Image Processing ◽

Wireless Sensor Network ◽

Sensor Network ◽

Wireless Sensor ◽

Network Environment ◽

Image Processing Techniques ◽

Parking System ◽

Smart Parking ◽

Processing Techniques

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Background Subtraction Method based Smart Parking System using Image Processing

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.f4030.049620 ◽

2020 ◽

Vol 9 (4) ◽

pp. 1839-1844

Keyword(s):

Image Processing ◽

Credit Card ◽

Raspberry Pi ◽

Subtraction Method ◽

System Availability ◽

Parking Spot ◽

Parking System ◽

Parking Lot ◽

Smart Parking ◽

The Internet Of Things

Now a day's population is increasing day by day. Due to increase in population usage of vehicles and the traffic at parking lot also increases. For this reason getting a parking spot is very difficult and time consuming for the car drivers. So to reduce this difficulty we are proposing a system called "Baground subtraction method based smart parking system using image processing". This paper is mainly concerned to develop smart parking system on a credit card sized computer and camera is fitted at a parking lot to show availability of a parking place. The image processing can be performed on a Raspberry pi interface with Things view cloud platform through an API to detect cars. Rasperry Pi posts data to the Things view cloud, Showing that the internet of things(IOT) based parking system. Availability of parking slot can be viewed in drivers mobile and they can book the parking slot from their mobile by using an app.

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Design of Automatically Picking-Up Table Tennis Based on OpenCV

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.734.157 ◽

2015 ◽

Vol 734 ◽

pp. 157-160 ◽

Cited By ~ 1

Author(s):

Xiao Long Wang ◽

Ling Zhu ◽

Hong Xing Ma ◽

Xiao Guo

Keyword(s):

Image Processing ◽

Third Party ◽

Table Tennis ◽

Image Processing Techniques ◽

Control Techniques ◽

The Third ◽

Processing Techniques ◽

And Control ◽

Measurement And Control ◽

And Training

In order to solve the problem of automatically picking up balls in table tennis competition and training, from the angle of machine vision, integrating embedded technology, image processing techniques, measurement and control techniques, etc. and based on the third party base OpenCV and Qt, we designed a automatically picking up table tennis system. Collect video signal through camera to have analysis and process and judge the position of table tennis, then control the trolley and manipulator to pick up the ball and send to the designated spot.

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Three-Dimensional Structure of Rotavirus-Fab Complex

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100179944 ◽

1990 ◽

Vol 48 (1) ◽

pp. 238-239

Author(s):

B.V.V. Prasad ◽

E. Marietta ◽

J.W. Burns ◽

M.K. Estes ◽

W. Chiu

Keyword(s):

Image Processing ◽

Smooth Surface ◽

Three Dimensional ◽

Outer Shell ◽

Dimensional Structure ◽

Structural Studies ◽

Cell Penetration ◽

Electron Cryomicroscopy ◽

Image Processing Techniques ◽

Processing Techniques

Rotaviruses are spherical, double-shelled particles. They have been identified as a major cause of infantile gastroenteritis worldwide. In our earlier studies we determined the three-dimensional structures of double-and single-shelled simian rotavirus embedded in vitreous ice using electron cryomicroscopy and image processing techniques to a resolution of 40Å. A distinctive feature of the rotavirus structure is the presence of 132 large channels spanning across both the shells at all 5- and 6-coordinated positions of a T=13ℓ icosahedral lattice. The outer shell has 60 spikes emanating from its relatively smooth surface. The inner shell, in contrast, exhibits a bristly surface made of 260 morphological units at all local and strict 3-fold axes (Fig.l).The outer shell of rotavirus is made up of two proteins, VP4 and VP7. VP7, a glycoprotein and a neutralization antigen, is the major component. VP4 has been implicated in several important functions such as cell penetration, hemagglutination, neutralization and virulence. From our earlier studies we had proposed that the spikes correspond to VP4 and the rest of the surface is composed of VP7. Our recent structural studies, using the same techniques, with monoclonal antibodies specific to VP4 have established that surface spikes are made up of VP4.

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A Survey on Detection and Classification of Brain Tumor Using Image Processing Techniques

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit2063211 ◽

2020 ◽

pp. 967-973

Author(s):

V. Deepika ◽

T. Rajasenbagam

Keyword(s):

Image Processing ◽

Brain Tumor ◽

Soft Tissues ◽

Tumor Detection ◽

Tumor Classification ◽

Normal Brain ◽

Image Processing Techniques ◽

Normal Brain Function ◽

Processing Techniques ◽

The Brain

A brain tumor is an uncontrolled growth of abnormal brain tissue that can interfere with normal brain function. Although various methods have been developed for brain tumor classification, tumor detection and multiclass classification remain challenging due to the complex characteristics of the brain tumor. Brain tumor detection and classification are one of the most challenging and time-consuming tasks in the processing of medical images. MRI (Magnetic Resonance Imaging) is a visual imaging technique, which provides a information about the soft tissues of the human body, which helps identify the brain tumor. Proper diagnosis can prevent a patient's health to some extent. This paper presents a review of various detection and classification methods for brain tumor classification using image processing techniques.

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