Computer vision can be used for many applications like facial expression detection, camera mice that move the cursor based on head movements, detecting text and defects. It allows those with limited mobility to interact with computers. Computer vision tasks include image processing, feature extraction, object detection and more. Major applications include manufacturing defect detection, barcode and text reading, and computer vision is a key technology enabling self-driving cars.
CDS is the criminal face identification by capsule neural network.
Solving the common problems in image recognition such as illumination problem, scale variability, and to fight against a most common problem like pose problem, we are introducing Face Reconstruction System.
Mika Kaukoranta presents what computer vision is and how it can be utilized in software testing by gaining high-level understanding from digital images or videos.
IEEE EED2021 AI use cases in Computer VisionSAMeh Zaghloul
AI Use Cases in Computer Vision
Introduction and Overview about AI Use Cases in Computer Vision, to answer a basic question: “How Machines See?”, covering Neural Networks, Object detection and recognition, Content-based image retrieval, Object tracking, Image restoration, Scene reconstruction, Computer Vision Tools, Frameworks, Pretrained Models, and Public Train/Test Datasets.
With real-project examples on using Computer Vision in Egyptian Hieroglyph Alphabet recognition, Face Recognition/Matching, in addition to hands-on interactive session on Object/Image Tagging/Annotation on Videos/Images to prepare model training dataset.
The goal of this report is the presentation of our biometry and security course’s project: Face recognition for Labeled Faces in the Wild dataset using Convolutional Neural Network technology with Graphlab Framework.
Graduation Project - Face Login : A Robust Face Identification System for Sec...Ahmed Gad
Face login is my 2015 graduation project started in 2014 and lasted 1.5 years of work.
Generally, it is an identification system using face images. It is a multi-use system but it was mainly created to authorize users to login into their system.
There is an IEEE paper published by the project algorithm used in ICCES 2014 http://ieeexplore.ieee.org/abstract/document/7030929/.
Here is its citation Semary, Noura A., and Ahmed Fawzi Gad. "A proposed framework for robust face identification system." Computer Engineering & Systems (ICCES), 2014 9th International Conference on. IEEE, 2014.
A YouTube video describing the project generally.
https://www.youtube.com/watch?v=OUvaPW70Eko
Find me on:
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Survey on Human Computer interaction for disabled persons Muhammad Bilal
At present, there are many solutions which facilitate the interaction of computers to handicapped people. In recent years there has been an increased interest in HumanComputer Interaction Systems allowing for more natural communication with machines. Such systems are especially important for elderly and disabled persons. In this paper we have conducted a survey of ten different techniques and tried to analyze how these techniques are working. The techniques have also been compared on the basis of many features which give an insight into the effectiveness of these techniques
You can contact me on Gmai
bilal.professional786@gmail.com
You can also contact me on Facebook
https://www.facebook.com/bilalbakhtawar
A Simulation Method of Soft Tissue Cutting In Virtual Environment with HapticsIJERA Editor
Currently, virtual simulation has an increasing role in the medical field. Now virtual surgery simulation has been largely explored in medical field. Virtual surgery is a good complement to traditional Surgical Training. Modeling effects of soft tissue during cutting is quite complex, hence the concept of virtuality is used to develop realistic surgical instruments for providing exact force feedback to the surgeon during surgical operation and simulation of soft tissue processes. Scalpel is a basic instrument required for soft tissue simulation. Hence we will design a virtual organ to cut by using Scalpel in Haptic Environment.
Computer vision, in its most basic sense, is trying to make the machine do what the human brain can do with vision. That's why we call it artificial vision. Its most basic task is to recognize objects. Recognizing and grouping objects. The aim is to make sense of the content of digital images.
CDS is the criminal face identification by capsule neural network.
Solving the common problems in image recognition such as illumination problem, scale variability, and to fight against a most common problem like pose problem, we are introducing Face Reconstruction System.
Mika Kaukoranta presents what computer vision is and how it can be utilized in software testing by gaining high-level understanding from digital images or videos.
IEEE EED2021 AI use cases in Computer VisionSAMeh Zaghloul
AI Use Cases in Computer Vision
Introduction and Overview about AI Use Cases in Computer Vision, to answer a basic question: “How Machines See?”, covering Neural Networks, Object detection and recognition, Content-based image retrieval, Object tracking, Image restoration, Scene reconstruction, Computer Vision Tools, Frameworks, Pretrained Models, and Public Train/Test Datasets.
With real-project examples on using Computer Vision in Egyptian Hieroglyph Alphabet recognition, Face Recognition/Matching, in addition to hands-on interactive session on Object/Image Tagging/Annotation on Videos/Images to prepare model training dataset.
The goal of this report is the presentation of our biometry and security course’s project: Face recognition for Labeled Faces in the Wild dataset using Convolutional Neural Network technology with Graphlab Framework.
Graduation Project - Face Login : A Robust Face Identification System for Sec...Ahmed Gad
Face login is my 2015 graduation project started in 2014 and lasted 1.5 years of work.
Generally, it is an identification system using face images. It is a multi-use system but it was mainly created to authorize users to login into their system.
There is an IEEE paper published by the project algorithm used in ICCES 2014 http://ieeexplore.ieee.org/abstract/document/7030929/.
Here is its citation Semary, Noura A., and Ahmed Fawzi Gad. "A proposed framework for robust face identification system." Computer Engineering & Systems (ICCES), 2014 9th International Conference on. IEEE, 2014.
A YouTube video describing the project generally.
https://www.youtube.com/watch?v=OUvaPW70Eko
Find me on:
AFCIT
http://www.afcit.xyz
YouTube
https://www.youtube.com/channel/UCuewOYbBXH5gwhfOrQOZOdw
Google Plus
https://plus.google.com/u/0/+AhmedGadIT
SlideShare
https://www.slideshare.net/AhmedGadFCIT
LinkedIn
https://www.linkedin.com/in/ahmedfgad/
ResearchGate
https://www.researchgate.net/profile/Ahmed_Gad13
Academia
https://www.academia.edu/
Google Scholar
https://scholar.google.com.eg/citations?user=r07tjocAAAAJ&hl=en
Mendelay
https://www.mendeley.com/profiles/ahmed-gad12/
ORCID
https://orcid.org/0000-0003-1978-8574
StackOverFlow
http://stackoverflow.com/users/5426539/ahmed-gad
Twitter
https://twitter.com/ahmedfgad
Facebook
https://www.facebook.com/ahmed.f.gadd
Pinterest
https://www.pinterest.com/ahmedfgad/
Survey on Human Computer interaction for disabled persons Muhammad Bilal
At present, there are many solutions which facilitate the interaction of computers to handicapped people. In recent years there has been an increased interest in HumanComputer Interaction Systems allowing for more natural communication with machines. Such systems are especially important for elderly and disabled persons. In this paper we have conducted a survey of ten different techniques and tried to analyze how these techniques are working. The techniques have also been compared on the basis of many features which give an insight into the effectiveness of these techniques
You can contact me on Gmai
bilal.professional786@gmail.com
You can also contact me on Facebook
https://www.facebook.com/bilalbakhtawar
A Simulation Method of Soft Tissue Cutting In Virtual Environment with HapticsIJERA Editor
Currently, virtual simulation has an increasing role in the medical field. Now virtual surgery simulation has been largely explored in medical field. Virtual surgery is a good complement to traditional Surgical Training. Modeling effects of soft tissue during cutting is quite complex, hence the concept of virtuality is used to develop realistic surgical instruments for providing exact force feedback to the surgeon during surgical operation and simulation of soft tissue processes. Scalpel is a basic instrument required for soft tissue simulation. Hence we will design a virtual organ to cut by using Scalpel in Haptic Environment.
Computer vision, in its most basic sense, is trying to make the machine do what the human brain can do with vision. That's why we call it artificial vision. Its most basic task is to recognize objects. Recognizing and grouping objects. The aim is to make sense of the content of digital images.
Computer Vision and various subcategories will have drastic changes in the future, and will surely lead to the betterment of services. Along with increased capacity, future algorithms will be easy to train on such massive data. The intervention of other technologies of the same sub-family will lead to surprising results.
So let us study what is computer vision and how it works.
https://www.datatobiz.com/blog/what-is-computer-vision/
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
2. Submitted by : Saksham Turki
Roll Number : 181203040
Semester : 7th A1 Department : CSE
DATED : 15 JAN, 2022
INSTITUTE NAME : MIET
3. TABLE OF CONTENT
S. NOTOPIC SLIDE
NUMBER
1 What is computer vision 5
2 Using computer vision 6
3 Camera Mouse 8
4 Eagle Eyes 9
5 Computer Vision to the rescue 10
5. What is Computer Vision?
Computer Vision “is a discipline that studies how to reconstruct,
interpret and understand a 3D scene from it’s 2D images in terms of the
properties of the structures present in the scene”.
-Robert Fisher, Ken Dawson-Howe, Andrew Fitzgibbon, Craig Robertson,
Emanuele Trucco, Wiley, 2005.
Computer vision systems analyse images and video automatically and
determine what the computer "sees" or "recognises.” -Margrit Betke
6. Using Computer Vision: Facial
Expression
Detecting faces allows the devices to identify the presence of
faces apart from the task of recognizing them.
In this video Masha, a college student, is experimenting on how
the computer judges our face and tells our mood by the color of
the dragon on the screen.
http://www.youtube.com/watch?v=7tD1KlTkunM&feature=player_embedded
7. Using Computer Vision:
Facial Expressions
Here are pictures of people and their
expressions. As you can see, below the faces,
the camera can sense where the main features
change in the face.
8. Camera Mouse
o The Camera Mouse can detect your head’s
motions and move along on the computer
screen.
o “Instead of using a mouse, a webcam or built-
in camera looks at you and tracks a spot on
your face. If you move your head to the left,
the mouse moves to the left. If you hold the
pointer over the spot, a click is issued.
Anything you can do with a mouse, you can
do with Camera Mouse.” – Professor Gips
o June 2007, Camera Mouse was made
available free of charge through Internet
download.
o According to Gips, 100,000 copies were
downloaded in the first 31 months; in the year
following that, another 100,000. More recently
is that100,000 were downloaded in just one
month
9. Eagle Eyes
o Eagle Eyes allows people who can only move
their eyes to use the computer by having five
electrodes attached to their head in spots that can
see head and eye movement.
o “Eagle Eyes and Camera Mouse do more than
provide the disabled a means to access and use
the computer; they now have a means of
communicating and connecting that their body
has denied from them for years.”
10. Computer Vision to the rescue !!
Computer Vision can also be used to help people in need
Such as those who can’t use certain body parts to communicate.
Jordan, the girl above, can’t communicate using her hands to move the
mouse on a computer. But with the Camera Mouse that recognises where she
wants to click on she can move the mouse where she wants using her head.
11. Computer Vision : Speaking with
Eyes
The computer senses your eyes and notices the eye movements. When someone
blinks the computer would click something.
Looking into the side, or raising eyebrows are some ways to communicate with your
eyes in the computer.
There’s also the eye gaze detection that detects where you are trying to move to.
12. Facebook tagging!
Facebook also has face recognition.
It scans you and your friends' photos for recognisable faces and
suggests name-tags for the faces by matching them with their
profile photos and other tagged photos.
13. APPLICATIONS
Applications range from tasks such as industrial machine vision
systems which, say, inspect bottles speeding by on a production line,
to research into artificial intelligence and computers or robots that
can comprehend the world around them. The computer vision and
machine vision fields have significant overlap. Computer vision
covers the core technology of automated image analysis which is
used in many fields. Machine vision usually refers to a process of
combining automated image analysis with other methods and
technologies to provide automated inspection and robot guidance in
industrial applications. In many computer-vision applications, the
computers are pre-programmed to solve a particular task, but
methods based on learning are now becoming increasingly common.
14. APPLICATIONS
Learning 3D shapes has been a challenging task in computer vision. Recent advances in deep
learning has enabled researchers to build models that are able to generate and reconstruct 3D
shapes from single or multi-view depth maps or silhouettes seamlessly and efficiently
• Automatic inspection, e.g., in manufacturing applications;
• Assisting humans in identification tasks, e.g., a species identification system;
• Controlling processes, e.g., an industrial robot;
• Detecting events, e.g., for visual surveillance or people counting, e.g., in the
restaurant industry;
• Interaction, e.g., as the input to a device for computer-human interaction;
• Modeling objects or environments, e.g., medical image analysis or topographical
modeling;
• Navigation, e.g., by an autonomous vehicle or mobile robot; and
• Organising information, e.g., for indexing databases of images and image sequences.
• Tracking surfaces or planes in 3D coordinates for allowing Augmented Reality
experiences.
15. APPLICATIONS
Defect inspection
• Large-scale manufacturing sites often struggle to achieve 100% accuracy in defect detection
in their manufactured goods.
• Camera-based systems can collect real-time data and leverage computer vision and machine
learning algorithms to analyze it and benchmark the results against a predefined set of quality
standards.
It helps in identifying macro and micro level defects in the production line more efficiently.
This facilitates the error-free production process and decreases costs.
16. APPLICATIONS
Reading text and barcodes
As most products have barcodes on their packaging, a computer vision technique called
OCR can be successfully applied to automatically detect, verify, convert and translate
barcodes into readable text.
By applying OCR to photographed labels or packaging, the text they contain is extracted and verified
against databases.
This procedure helps to identify wrongly labeled products, provide information about expiration dates,
inform about product quantity in the magazine, and track packages at all stages of product
development.
17. APPLICATIONS
Self-driving cars
In 2022 autonomous vehicles are no longer science fiction. In fact—
Thousands of engineers and developers worldwide are already testing and improving the reliability and
safety of self-driving cars.
Computer vision is used to detect and classify objects (e.g., road signs or traffic lights), create 3D maps or
motion estimation, and played a key role in making autonomous vehicles a reality.
Self-driving cars collect data on their surroundings from sensors and cameras, interpret it, and respond
accordingly. Researches working on the ADAS technology combine computer vision techniques such as pattern
recognition, feature extraction, object tracking, and 3D vision to develop real-time algorithms that assist driving
activity.
18. Typical tasks
Each of the application areas described above employ a range of
computer vision tasks; more or less well-defined measurement problems
or processing problems, which can be solved using a variety of methods.
Some examples of typical computer vision tasks are presented below.
Computer vision tasks include methods for acquiring, processing,
analyzing and understanding digital images, and extraction of high-
dimensional data from the real world in order to produce numerical or
symbolic information, e.g., in the forms of decisions. Understanding in
this context means the transformation of visual images (the input of the
retina) into descriptions of the world that can interface with other thought
processes and elicit appropriate action. This image understanding can be
seen as the disentangling of symbolic information from image data using
models constructed with the aid of geometry, physics, statistics, and
learning theory.
19. CONCLUSION
In this report we have attempted to give an overview of eye-tracking
technology; how the techniques work, what the history and background
is, what present-day implementations are like and the most famous
application of it i.e. Defect Inspection , Reading Text And Barcodes , Self
Driving Cars. What are limitations of the eye tracking technique. and as
well as we spoke about eye tracking it have delivered details about
Human Computer Interaction as a big field contains eye tracking and
Computer Vision as the general field contains HCI and ET.
Computer Vision typically requires a combination of a low level image
processing to enhance the image quality and higher level pattern
recognization and image understanding to recoganize things present in
the image.