Computer Vision

I always prefer to write Article in simple and easy way to understand the fast

growing concept in the globe. In the concept of these, I wrote many of concept

of AI related before. You can read all of them from my blog (POPULAR POST) 
option. As far as concern about the Computer vision it also the part of AI, 
and a lot of research is going on this. In this Article we are going to understand
 about in very easy and simple way.

I also insist you to attempt the quiz which is present in the last of Article.

First word

       Computer Vision derived from Artificial intelligence and Computer science, this concept giving the virtual concept of the world in the form of images understanding! Would that Computer can see and observe, it is the dream of past where our desire to do our computer work as like human after seeing the object. But in this modern world it’s become true in the form of Computer Vision.

So, what is Computer Vision?

How does it work?

From these and related question arise in our mind.

       In this Article we are going to understand the concept of Computer Vision from basic introduction

Let’s assume I give you an image in which different living and nonliving things are present, as human we can easily identify the human and animal also others nonliving thing like floor, wall, frame and others which is represent in the background of the image.  Also we can write a complete novel on it after observing the image from depth.

      The Concept of understanding the image and identify the character on it, is called Computer Vision.  Actually it the concept of seeing the computer as like human, using this concept we are trying to make computer intelligent as like human to identify the character from images.

How does it work!

Using three basic component computer vision does it work with digital images.

Image acquisition

Image processing
Image analysis and understanding

The flow diagram of these process:

Let’s understand these three individually.

Image acquisition

Image acquisition is the process of translating the analog world around us into binary data composed of zeros and ones, interpreted as digital images.

In the process of image acquisition we convert the analog image into binary data which composed it into 0’s and 1’s, like digital images.

For this process different tools have been used

Like webcam, digital camera, modern DSLR, 3D cameras, laser related camers.

Image processing

In the part of image processing, image is changed into geometrical element to build and show the basic structure of the images or object using low level processing. For basic understand if you used the PHOTOSHOP you did this work many time using different option on it. We used this effect on our images but we don’t know about them. Actually these  happened on it using advance mathematical algorithm and the images processing effect.

Few of these techniques are:

1. Edge detection
2. Segmentation
3. Classification
4. Feature detection and matching

Edge detection

Segmentation

Classification

Feature detection and matching

Image analysis and understanding

Computer vision last step is identify the object from data, where machine finally take the decision in term of output using advance algorithm. The step complete their work using previous steps (image date, and low level information).

High-level image analysis are:
1. 3D scene mapping
2. Object recognition
3. Object tracking

3D scene mapping

Object recognition

Object tracking

Applications of computer vision

In the field of computer science, AI, robotics, human-computer interaction and images visualization different application are doing their work, few of are:

Horizon with Computer Vision 

Diseases identification using Computer vision

Image restoration such as denoising

Computer Vision on the Horizon

Motion recognition

Computer Vision in Industrial Preventative Maintenance
Augmented reality
Autonomous cars

Thanks for reading, I am hopeful it is very informative for you. It's also good thing for you after ready to attempt the quiz, TRY IT TO UNDERSTAND YOU KNOWLEDGE. Do and understand about your knowledge.

Well Come to Quiz

WellCome to Quiz :)

Comptuer vision means?
Computer see as like human
Computer behave as like human
Computer work as like human

Computer vision is derived from AI
False
True
None of them

How many component are using in Comptuer vision?
1
3
5

In which component analog world convert into digital images?
Image acquisition with pixel
Image acquisition
Image processing

Original image convert into geometical shape using?
Image processing
Image acquisition
Image acquisition with pixel

Identification of images using?
Image analysis and understanding
Image analysis
Image acquisition with pixel

In which software we can use different option which is related to computer vision?
Combo
Virtual effect
Photoshop

which is not the example of computer vision application?
Autonomous cars
Robotic
Motion recognition

which is the example of computer vision application?
Machine learning
Deep learing
Autonomous cars

Classification is used to identify the character from image?
True
False
None of them

Result....

Git Vs Github understanding and Advancement on them!

Hi, Well come to Fahad Hussain Free Computer Education!

As a Computer Scientist I always prefer to express my knowledge 

around the globe FREE. A lot of tool, software and application are 

being used around the globe and we are using this according to

the market trend and need. GIT AND GITHUB in one of them.

I know many folks know about the usage and definition But 

I personally observed many person don’t know about the 

DIFFERENCES  BETWEEN THEM, 

and many of developer even failed to express their word in term

of differences, but they are using this.

So, in this Article we are going to understand the

DIFFERENCES BETWEEN GIT AND GITHUB.

So, Let’s understand…

       As a developer or programmer often time we need to share our code with our team member to make your project more perfect according to the demand. For this we used to use Google Drive and related cloud base software when we update or change the previous code but here is no option to Version Control on it  we just replace the code and finally we lost the existing code which were be the part of your project before. To secure the previous code and capability to control the version GIT and GITHUB are being used in the IT industries these days.

I am pretty sure many of you know about GitHub and also you are user of it but only few of them know about the difference between Git and Github!

So what are they?

Why we use it?

What are the differences between them?

And can we survive in IT field without this technology?

       In this Article we going to get the answer of these most frequently asked question which has been asked in interview as well.

But first we need to understand the word Version Control

Version Control:

         

          Let’s consider 3 person are working on project and these three doing work on JavaScript file at the same time, unwilling they made the function by the same name but different in work. When the code merge it is an obstacle thing to identify the error in less time. In industry point of view TIME IS MONEY, and if you expend more time to find an error what will be the max time to make a whole project? So a Version Control who enable us to control the version and keep track the changes in the file time to time and finally make it repository. Also the feature to come back to previous it provides. A repository (folder) is central place where the records are saved in the organized way. A way of this Version control is really helpful for big project where the numerous of person do work on the same project.

Let’s see the practice example of Version control in industrial work.

We were finding that kind of system which make our work easier, for this we are using Version Control System. The picture demonstrate the concept of Version Control using three broad way Time, project and DataBase. Time creates the basic history when any developer submit the code using Version Control in the Project were DataBase (VCS) hold the history of the file including the developer comment (which type of work has been done by him/her). By using VCS we can see the previous file and also another file which has been modified by another developer which make our work easier and faster and easy to compare. 

GIT:

It’s a version Control System also a software, which mange your source code history in your computer. It has been designed by Linus Torvalds, after the frustrated with the past proprietary software, as like other version control like subversion or CVS it is similar. It is best system when you are working on your own project and you need to find the history of you project it will provide stunning service. For getting this service we need to install in on your machine.

It is also called DISTRIBUTED VERSION CONTROL SYSTEM means using this system we can apply different operation like push and pull in other’s user machine. Git provides to access the same file’s copy as your project’s member, But it does not reflect any changes in the main directory unless or unless you applied any operation like push and pull on it. The basic benefits of Git: 

Backup
            Free and Open Source
            Fast & Small
            Easier Branching

GITHUB:

     

 Now a days, numerous of developers are used Git in different organization to build their own project. As a picture demonstrate us the latest trend of Git usage in the market and showing it popularity. Ahead from 2005 the Git grow its market through it version control system and including America and related country, it’s important in term of usage and saving time.

Github:

          Actually GitHub is a hosting service for Git Repositories and it is service for the project that use Git. UI of Github make it more attractive for user. Github is used to get connection with Git and allows user to save their code not in your local machine as like Git, it provide you to save your code online also give access to connect with different user/developer on different project. Its provide bug tracing, feature request and task management. In simple word we can say that Github provide us the collaboration tool which provide the connection between users/developer and also them to share their ideas according to their project. It is not end of Github features, Moreover, the additional features make Github more attractive and get attention form developer/users. Let’s discuss.

Pull: When you are going to make changes in your code, and you done it and copied. Now, you want share it like original order, you need pull command this command send a notification of changes.  

Push: commit make on your local branch to a remote repo. It has two argument, a remote name like origin, a branch name, like master.

Fork: Also called forking, when the user has not access to write, he/she fork (copy) the repository from other user account. Now he/she can make changes on it in local machine.

Merge: by using this command user merge the active file with previous file only who is the owner of the code where did he makes changes.

Basic comparison:

Git	GitHub
Work like as a software	Whereas Github is a service (online)
Need to install on the local machine	Whereas Github hosted on web.
Support command line tool	Whereas Github provides UI for their user
Using Git we can manage different version for Git repo.	There is a space to upload copy of the git repo.

I am hopeful this Article will be beneficial for you!

If you have any query regarding the topic

FEEL FREE TO COMMENT ON BLOG.

For more update

Keep visiting my blog and do subscribe my blog.

Git Vs Github understanding and Advancement on them!

Hi, Well come to Fahad Hussain Free Computer Education!

As a Computer Scientist I always prefer to express my knowledge 

around the globe FREE. A lot of tool, software and application are 

being used around the globe and we are using this according to

the market trend and need. GIT AND GITHUB in one of them.

I know many folks know about the usage and definition But 

I personally observed many person don’t know about the 

DIFFERENCES  BETWEEN THEM, 

and many of developer even failed to express their word in term

of differences, but they are using this.

So, in this Article we are going to understand the

DIFFERENCES BETWEEN GIT AND GITHUB.

So, Let’s understand…

       As a developer or programmer often time we need to share our code with our team member to make your project more perfect according to the demand. For this we used to use Google Drive and related cloud base software when we update or change the previous code but here is no option to Version Control on it  we just replace the code and finally we lost the existing code which were be the part of your project before. To secure the previous code and capability to control the version GIT and GITHUB are being used in the IT industries these days.

I am pretty sure many of you know about GitHub and also you are user of it but only few of them know about the difference between Git and Github!

So what are they?

Why we use it?

What are the differences between them?

And can we survive in IT field without this technology?

       In this Article we going to get the answer of these most frequently asked question which has been asked in interview as well.

But first we need to understand the word Version Control

Version Control:

         

          Let’s consider 3 person are working on project and these three doing work on JavaScript file at the same time, unwilling they made the function by the same name but different in work. When the code merge it is an obstacle thing to identify the error in less time. In industry point of view TIME IS MONEY, and if you expend more time to find an error what will be the max time to make a whole project? So a Version Control who enable us to control the version and keep track the changes in the file time to time and finally make it repository. Also the feature to come back to previous it provides. A repository (folder) is central place where the records are saved in the organized way. A way of this Version control is really helpful for big project where the numerous of person do work on the same project.

Let’s see the practice example of Version control in industrial work.

We were finding that kind of system which make our work easier, for this we are using Version Control System. The picture demonstrate the concept of Version Control using three broad way Time, project and DataBase. Time creates the basic history when any developer submit the code using Version Control in the Project were DataBase (VCS) hold the history of the file including the developer comment (which type of work has been done by him/her). By using VCS we can see the previous file and also another file which has been modified by another developer which make our work easier and faster and easy to compare. 

GIT:

It’s a version Control System also a software, which mange your source code history in your computer. It has been designed by Linus Torvalds, after the frustrated with the past proprietary software, as like other version control like subversion or CVS it is similar. It is best system when you are working on your own project and you need to find the history of you project it will provide stunning service. For getting this service we need to install in on your machine.

It is also called DISTRIBUTED VERSION CONTROL SYSTEM means using this system we can apply different operation like push and pull in other’s user machine. Git provides to access the same file’s copy as your project’s member, But it does not reflect any changes in the main directory unless or unless you applied any operation like push and pull on it. The basic benefits of Git: 

Backup
            Free and Open Source
            Fast & Small
            Easier Branching

GITHUB:

     

 Now a days, numerous of developers are used Git in different organization to build their own project. As a picture demonstrate us the latest trend of Git usage in the market and showing it popularity. Ahead from 2005 the Git grow its market through it version control system and including America and related country, it’s important in term of usage and saving time.

Github:

          Actually GitHub is a hosting service for Git Repositories and it is service for the project that use Git. UI of Github make it more attractive for user. Github is used to get connection with Git and allows user to save their code not in your local machine as like Git, it provide you to save your code online also give access to connect with different user/developer on different project. Its provide bug tracing, feature request and task management. In simple word we can say that Github provide us the collaboration tool which provide the connection between users/developer and also them to share their ideas according to their project. It is not end of Github features, Moreover, the additional features make Github more attractive and get attention form developer/users. Let’s discuss.

Pull: When you are going to make changes in your code, and you done it and copied. Now, you want share it like original order, you need pull command this command send a notification of changes.  

Push: commit make on your local branch to a remote repo. It has two argument, a remote name like origin, a branch name, like master.

Fork: Also called forking, when the user has not access to write, he/she fork (copy) the repository from other user account. Now he/she can make changes on it in local machine.

Merge: by using this command user merge the active file with previous file only who is the owner of the code where did he makes changes.

Basic comparison:

Git	GitHub
Work like as a software	Whereas Github is a service (online)
Need to install on the local machine	Whereas Github hosted on web.
Support command line tool	Whereas Github provides UI for their user
Using Git we can manage different version for Git repo.	There is a space to upload copy of the git repo.

I am hopeful this Article will be beneficial for you!

If you have any query regarding the topic

FEEL FREE TO COMMENT ON BLOG.

For more update

Keep visiting my blog and do subscribe my blog.

Data Scientist VS Data Analyst

Hi everyone! Hope you will fine all. I always prefer to write post on

basic definition and difference between or among of those critical

and related word which is running on the globe in the form of

job/title/of AI base concept related using simple and basic approach.

 In the previous Article 

I tried to make you understand about the differences between R

and Python in term of comparison if you did not read it first you

read it Python VS R Latest Trend in the Market. Now, in this Article

we are going to understand the difference between in the most

growing field of Artificial Intelligence, Data Scientist VS Data Analyst.

Data Science:

      As name suggest Data Science, where Science (methods) has been applied on data to purify it and get useful data on it. It is under big domain in which different scientific methods and tools apply. For instance mathematics, statistics and other related tools which deal to solve the data sets. These methods extract the knowledge from data. Not only these tools capable them to deal with the data extraction only also for big data handling. In the Data Science field Data Scientist is one of the sexiest job (field) these days, as Data Scientist, he gathered data sets from multi disciples and compiles it, then apply deep learning and machine on it to predict and analysis the data in sufficient form.

       The most growing job from data science field is Data Scientist and Data Analyst, let’s understand the differences and responsibilities between them and get to know how they are related and depend on each other.

Who is Data Scientist?

       A word data means fact and figure, a person who is working on data, understand the data according to the field of business and industries point of view by using different technique especially mathematical model and statistic is called a Data Scientist. These techniques boost the scientist to extract knowledge insight form the existing data in different forms similar to data mining (structure and unstructured form).

The roles of Data Scientist further divided into Four (04) parts (roles) according to their skills.

Data Business people

Data Developers

Data Researcher

Data Creatives

Who is Data Analyst?

      As name suggest Data Scientist, Data Analyst works! But as Data Analyst the person responsible to transforming, cleansing, and modeling the data for the purpose of getting useful information from the data. Also Data Analyst handle new data to find the latest trends on it which is helpful for the data scientists.

The roles of Data Analyst further divided into Four (04) parts (roles) according to their skills.

Database Administrators

Operations

Data Architects

Analytics Engineer

Comparison of Data Scientist and Data Analyst in term of skills

Data Scientist	Data Analyst
As a Data Scientist he/she should know the languages like R, Python, SAS, Matlab and also related languages need to learn.	As a Data Analyst he/she should know the languages like HTML, Javascript, R, and related languages.
In database should know SQL and Hive.	In database should know SQL and Hive in-depth to analysis.
Visualization of data and expounding business stories to others teams in the organization.	Specialization tool like Qlikview, Tableau, MSBi.
Here he/she required Machine learning concept.	There is no necessary of it.
Recently the salary graph is higher than Data Analyst.	Here salary graph is lower than Data Science.

Job Trend of Data Science VS Data Analyst:

       The salary (average) for a Data Scientist is around $117,000 whereas for Data Scientist it would be $62,000. However, despite considering many differences between the job titles, one cannot be successful without the other as we considered it before.

The Graph demonstrate the job and salary growth of them!

Hope you will get right information about DataSciencist VS DataAnayst! 

For more useful and informative Article and post keep visiting my Blog 

and  share it those who want to learn this concept, remember I plan to 

start video tutorial soon about the programming language PYTHON

 and on R using machine learning and keep learning concept,

ABSOLUTELY FREE 

KEEP IT TOUCH!!!

Data Scientist VS Data Analyst

Hi everyone! Hope you will fine all. I always prefer to write post on

basic definition and difference between or among of those critical

and related word which is running on the globe in the form of

job/title/of AI base concept related using simple and basic approach.

 In the previous Article 

I tried to make you understand about the differences between R

and Python in term of comparison if you did not read it first you

read it Python VS R Latest Trend in the Market. Now, in this Article

we are going to understand the difference between in the most

growing field of Artificial Intelligence, Data Scientist VS Data Analyst.

Data Science:

      As name suggest Data Science, where Science (methods) has been applied on data to purify it and get useful data on it. It is under big domain in which different scientific methods and tools apply. For instance mathematics, statistics and other related tools which deal to solve the data sets. These methods extract the knowledge from data. Not only these tools capable them to deal with the data extraction only also for big data handling. In the Data Science field Data Scientist is one of the sexiest job (field) these days, as Data Scientist, he gathered data sets from multi disciples and compiles it, then apply deep learning and machine on it to predict and analysis the data in sufficient form.

       The most growing job from data science field is Data Scientist and Data Analyst, let’s understand the differences and responsibilities between them and get to know how they are related and depend on each other.

Who is Data Scientist?

       A word data means fact and figure, a person who is working on data, understand the data according to the field of business and industries point of view by using different technique especially mathematical model and statistic is called a Data Scientist. These techniques boost the scientist to extract knowledge insight form the existing data in different forms similar to data mining (structure and unstructured form).

The roles of Data Scientist further divided into Four (04) parts (roles) according to their skills.

Data Business people

Data Developers

Data Researcher

Data Creatives

Who is Data Analyst?

      As name suggest Data Scientist, Data Analyst works! But as Data Analyst the person responsible to transforming, cleansing, and modeling the data for the purpose of getting useful information from the data. Also Data Analyst handle new data to find the latest trends on it which is helpful for the data scientists.

The roles of Data Analyst further divided into Four (04) parts (roles) according to their skills.

Database Administrators

Operations

Data Architects

Analytics Engineer

Comparison of Data Scientist and Data Analyst in term of skills

Data Scientist	Data Analyst
As a Data Scientist he/she should know the languages like R, Python, SAS, Matlab and also related languages need to learn.	As a Data Analyst he/she should know the languages like HTML, Javascript, R, and related languages.
In database should know SQL and Hive.	In database should know SQL and Hive in-depth to analysis.
Visualization of data and expounding business stories to others teams in the organization.	Specialization tool like Qlikview, Tableau, MSBi.
Here he/she required Machine learning concept.	There is no necessary of it.
Recently the salary graph is higher than Data Analyst.	Here salary graph is lower than Data Science.

Job Trend of Data Science VS Data Analyst:

       The salary (average) for a Data Scientist is around $117,000 whereas for Data Scientist it would be $62,000. However, despite considering many differences between the job titles, one cannot be successful without the other as we considered it before.

The Graph demonstrate the job and salary growth of them!

Hope you will get right information about DataSciencist VS DataAnayst! 

For more useful and informative Article and post keep visiting my Blog 

and  share it those who want to learn this concept, remember I plan to 

start video tutorial soon about the programming language PYTHON

 and on R using machine learning and keep learning concept,

ABSOLUTELY FREE 

KEEP IT TOUCH!!!